Training Example: QuestDB – Review the Data, Give Your Score & Compare to the Real AI Evaluation

Industry Context — Common BS Fingerprints in Software, SaaS & Tech Products
Generic Claims: the all-in-one platform, trusted by thousands of companies, increase productivity by X percent, save hours every week…
Red Flags: AI claims without explaining what the AI does, customer logos without case study or testimonial evidence, no live product access or demo, SOC 2 claims without audit period or report availability…
Semantic Drift Patterns: homepage claims AI-powered but product is rules-based, claims enterprise-grade but pricing page shows startup tiers only, homepage shows Fortune 500 logos but case studies are small businesses, claims all-in-one but integration page shows critical missing pieces…
Proof Expectations: live product demo or free trial access, specific feature documentation with screenshots, verified customer logos with published case studies, third-party review scores on G2, Capterra, or TrustRadius…

QuestDB

(https://questdb.io) 📸 Data Snapshot: June 19, 2026

Analyze the raw signals below. How would a machine score this business’s credibility?

Here are the exact signals captured from up to six pages of the site — the same raw inputs the evaluation engine analyzed. They are grouped by signal type so you can weigh each the way the machine does.

🏗️ Semantic Structure — heading hierarchy & page identity (Info Density · Commodity Fingerprint)
HOMEPAGE QuestDB | Low-latency time-series database on open formats (https://questdb.io)
Title

QuestDB | Low-latency time-series database on open formats

Meta

QuestDB is the open-source time-series database for demanding workloads, from trading floors to mission control. It delivers ultra-low latency, high ingestion throughput, and a multi-tier storage engine. Native support for Parquet and SQL keeps your data portable and AI-ready, with no vendor lock-in.

H1 The high-performancetime series database,built for AI agentsThe high-performance time series database, built for AI agents
H2 AI is rewriting data infrastructure. We’re at its core.
H2 Trusted by exchanges and banks in production
H2 Explore our live demo
H2 LLMs speak SQL.Your database should too.
H2 Delete proprietary, commit open
H2 Real-time and historical data, in one engine.
H2 Open source. Open standards.
H2 Time-seriesingestion at scale
H2 Plug QuestDB into the toolsyour team already uses.
H2 Built for the most demandingtime-series use cases
H2 Ready for production?
H2 Join our developer community
H3 Performance at scale
H3 Open and AI-ready
H3 Built for production
H3 B3 powers Latin America's largest exchange with QuestDB
H3 One Trading runs regulated digital asset trading on QuestDB
H3 BTG Pactual replays order books and tunes pricing algos on QuestDB
H3 Open at every layer
H3 Need more?
H3 Open at every layer
H3 Need more?
H3 Pre- and post-trade, in real time
H3 High-speed, multi-exchange crypto market data
H3 Real-time insights from in-flight to ground control
H3 Smarter grids, faster decisions
H3 Physical AI & robotics telemetry
H3 Fraud analytics engine: low-latency ingest, high-concurrency reads
NAV_HEADER_HEADING_REPEATED_BODY_FOOTER Download | QuestDB (https://questdb.io/download/)
Title

Download | QuestDB

Meta

Download QuestDB, an open source time series SQL database for fast ingestion and queries

H1 Download QuestDB
H2 Why QuestDB?
H2 Run QuestDB in production
H3 Airbus monitors fleet data
H3 BTG Pactual powers market data APIs
H3 AI for trading insights
H3 Airbus monitors fleet data
H3 BTG Pactual powers market data APIs
H3 AI for trading insights
H3 Trusted by industry leaders
HEADING_REPEATED_BODY_FOOTER QuestDB Enterprise: Production-Grade Time-Series Database | QuestDB (https://questdb.io/enterprise/)
Title

QuestDB Enterprise: Production-Grade Time-Series Database | QuestDB

Meta

QuestDB Enterprise offers advanced security, high availability, and expert support for mission-critical time-series applications. Scale globally with multi-primary writes, role-based access control, and cold storage optimization.

H1 Run QuestDB in productionwith confidence
H2 Production grade performance
H2 Proven at petabyte scale
H2 Peace of mind at any scale
H2 open source & Enterprise
H2 Enterprise-grade security
H2 You bring the cloud,we'll do the rest.
H2 Contact us for a demo
H3 B3 powers Latin America's largest exchange with QuestDB
H3 BTG Pactual replays order books and tunes pricing algos on QuestDB
H3 One Trading runs regulated digital asset trading on QuestDB
H3 Compare features
H3 Ready to deploy QuestDB Enterprise?
H3 Primary Use
H3 Primary Use
H3 Primary Use
H3 Primary Use
H3 Engine & Performance
H3 Engine & Performance
H3 Engine & Performance
H3 Engine & Performance
H3 Security
H3 Security
H3 Security
H3 Security
H3 User Management
H3 User Management
H3 User Management
H3 User Management
H3 Scalability
H3 Scalability
H3 Scalability
H3 Scalability
H3 High Availability
H3 High Availability
H3 High Availability
H3 High Availability
H3 Backups & Snapshots
H3 Backups & Snapshots
H3 Backups & Snapshots
H3 Backups & Snapshots
H3 Disaster Recovery
H3 Disaster Recovery
H3 Disaster Recovery
H3 Disaster Recovery
H3 Storage & Data Lake
H3 Storage & Data Lake
H3 Storage & Data Lake
H3 Storage & Data Lake
H3 Lifecycle Policies
H3 Lifecycle Policies
H3 Lifecycle Policies
H3 Lifecycle Policies
H3 Deployment
H3 Deployment
H3 Deployment
H3 Deployment
H3 Support & SLAs
H3 Support & SLAs
H3 Support & SLAs
H3 Support & SLAs
H3 Emergency Patches & Bug Fixes
H3 Emergency Patches & Bug Fixes
H3 Emergency Patches & Bug Fixes
H3 Emergency Patches & Bug Fixes
H3 Roadmap & Feature Requests
H3 Roadmap & Feature Requests
H3 Roadmap & Feature Requests
H3 Roadmap & Feature Requests
H3 Ready to deploy QuestDB Enterprise?
H3 Exchange surveillance and monitoring
H3 Laser Digital's market data infrastructure
H3 Airbus monitors fleet data
HEADING_REPEATED_BODY_FOOTER QuestDB for Capital Markets | High performance & open source time-series database (https://questdb.io/capital-markets/)
Title

QuestDB for Capital Markets | High performance & open source time-series database

Meta

QuestDB is the high-performance, open-source database for capital markets. Stream tick data in real-time and offload older data to open formats (Parquet) stored on object stores. Leverage SQL and powerful time-series extensions to query market data blazingly fast.

H1 Next generation databasefor capital markets
H2 Hyper-fast, reliable, open source and cost effective
H2 Elevating trading analytics
H2 Accelerate your strategies
H2 Built for production. Designed for scale.
H2 Pre-trade analysis
H2 Materialized views
H2 Deploy market leading workloads at scale.
H2 Post-trade analysis
H2 Backtesting madesimple
H2 QuestDB for exchanges
H2 A single time-series engine connecting agents, apps, and systems to your data.
H3 Market data meets open formats
H3 Fast ingest and egress
H3 Built for trading
H3 Open formats
H3 Operational simplicity
H3 Hardware efficiency
H3 Scale-ready
H3 Low-latency exchange for Digital Assets
H3 XRP Ledger reduces TCO
H3 Latin America's largest stock exchange
H3 Best TradingAnalytics Platform
H3 Optimized for capital markets
H3 Pre-trade analysis
H3 Post-trade analysis
H3 Backtesting
H3 Exchange surveillance
H3 Build k-line charts and cascade/chainmaterialized views
H3 Cascade views
H3 Dedup on write
H3 Millisecond freshness
H3 Downsample to Parquet
H3 Cascade views
H3 Dedup on write
H3 Millisecond freshness
H3 Downsample to Parquet
H3 Cascade views
H3 Dedup on write
H3 Millisecond freshness
H3 Downsample to Parquet
H3 As-of Join
H3 Window Join
H3 Horizon Join
H3 Comprehensive data storage
H3 Latency reporting
H3 Real-time surveillance
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://questdb.io) QuestDB | Low-latency time-series database on open formats
14:23:45.09814:23:45.09814:23:45.09814:23:45.09814:23:45.09814:23:45.09814:23:45.098Live DemoView
[H1] The high-performancetime series database,built for AI agentsThe high-performance time series database, built for AI agents
QuestDB is the open-source time-series database for demanding workloads—from trading floors to mission control. It delivers ultra-low latency, high ingestion throughput, and a multi-tier storage engine. Native support for Parquet and SQL keeps your data portable, AI-ready—no vendor lock-in.Get EnterpriseContact salesPowering critical data workloads at leading companies globally
[IMG: LD logo]
[IMG: LD logo]
“QuestDB brings a SQL-first solution able to ingest data at speed.”
[IMG: Mizuho logo]
[IMG: OKX logo]
[IMG: Ripple HiddenRoad logo]
[IMG: B3 logo]
[IMG: B3 logo]
Read story99.9%Uptime with QuestDB Enterprise
[IMG: Airbus logo]
[IMG: Airbus logo]
“QuestDB is used at Airbus for real-time applications involving billions of data points per day.”
[IMG: One Trading logo]
[IMG: One Trading logo]
Case study8 millionRows per second ingestion throughput
[IMG: BTG Pactual logo]
[IMG: BTG Pactual logo]
Details“QuestDB has become the standard for data aggregation.”
[IMG: HDFC Bank logo]
[IMG: HDFC Bank logo]
Read story5,000+Queries/second from a single instance
[IMG: Aquis/Six logo]
[IMG: Aquis/Six logo]
Case study“QuestDB is a time series database truly built by developers for developers”
[IMG: Caladan logo]
[IMG: Caladan logo]
Details$170BAnnual transactions across 1,000+ assets
[IMG: User logo]
QuestDB wins Best Trading Analytics Platform at the TradingTech Insight Awards Europe 2026.Read more
[IMG: TradingTech Insight Awards Europe 2026 Winner — QuestDB — Best Trading Analytics Platform]
Why QuestDB
[H2] AI is rewriting data infrastructure. We’re at its core.
Legacy data infrastructure is being rewritten because of AI, cost pressures, and vendor lock-in. QuestDB is built for it.
[H3] Performance at scale
10x faster ingest than the next-fastest databasePurpose-built for latency-sensitive workloadsIn production at tier-1 firms in capital markets, aerospace, and energyCompare to incumbents
[H3] Open and AI-ready
One SQL surface across real-time and historical tiersAI agents query QuestDB with the SQL they already knowOpen data lake on Parquet, Iceberg; unified and portableExplore the multi-tiered architecture
[H3] Built for production
Operated by your team, no specialist consultants requiredScales horizontally with distributed architectureHigh availability with multi-AZ resilienceExplore QuestDB Enterprise16M+Rows/sec ingest120M+Rows/sec egress60%Lower TCO<10msQuery latency16M+Rows/sec ingest120M+Rows/sec egress60%Lower TCO<10msQuery latencyIngest & egress performance on
[IMG: QuestDB]
QuestDB v10.0Standard SQL. no lock in.Easy to write SQL for developers and agentsSpecial SQL primitives for time-series, built for the most demanding workloads on the trading floor, expanding into aerospace and beyond. Easy for engineers to write, native for AI agents.coding agent - ~/questdb-demoPrompt:"Create a matview to compute 1-minute OHLCV candles from market_data"All promptsOHLCV (Materialized Views)Precomputed candles and intraday aggregates with sub-millisecond reads at any granularity.Time-bucketing (SAMPLE BY)Downsample on the fly for VWAP, ad-hoc bars, and time-series analytics.Order book (Arrays)Compact 2D arrays for order-book snapshots: vectorized ops for depth/imbalance analytics.Point-in-time (ASOF JOIN)Match each row to the most recent event by timestamp, the basis for trade-quote enrichment.Markouts/TCA (HORIZON JOIN)Look forward by fixed offsets to measure price impact after each trade.OHLCV (Materialized Views)Precomputed candles and intraday aggregates with sub-millisecond reads at any granularity.Time-bucketing (SAMPLE BY)Downsample on the fly for VWAP, ad-hoc bars, and time-series analytics.Order book (Arrays)Compact 2D arrays for order-book snapshots: vectorized ops for depth/imbalance analytics.Point-in-time (ASOF JOIN)Match each row to the most recent event by timestamp, the basis for trade-quote enrichment.Markouts/TCA (HORIZON JOIN)Look forward by fixed offsets to measure price impact after each trade.OHLCV (Materialized Views)Precomputed candles and intraday aggregates with sub-millisecond reads at any granularity.Time-bucketing (SAMPLE BY)Downsample on the fly for VWAP, ad-hoc bars, and time-series analytics.Order book (Arrays)Compact 2D arrays for order-book snapshots: vectorized ops for depth/imbalance analytics.Point-in-time (ASOF JOIN)Match each row to the most recent event by timestamp, the basis for trade-quote enrichment.Markouts/TCA (HORIZON JOIN)Look forward by fixed offsets to measure price impact after each trade.
[H2] Trusted by exchanges and banks in production
QuestDB CustomersCapital Markets
[IMG: B3 logo]
[H3] B3 powers Latin America's largest exchange with QuestDB
B3's Central Securities Depository platform runs on QuestDB for Capital Markets, processing every trade on the world's tenth-largest exchange.Read the full story“We chose QuestDB for its speed and straightforward deployment, which fits cleanly into our cloud-native architecture.”Kleber AlmeidaIT Manager, B3$5B+Daily traded volume99.9%Uptime guaranteeCapital Markets
[IMG: One Trading logo]
[H3] One Trading runs regulated digital asset trading on QuestDB
One Trading's regulated crypto exchange runs on QuestDB for Capital Markets, ingesting billions of trades for real-time market surveillance and latency analysis.Read the full story“QuestDB is an essential part of our trading platform — a high-speed, scalable store for billions of trades we can query in real time.”Steven HarperChief Security Officer, One Trading8M+Rows/sec ingest1stEuropean MiFID II derivatives exchangeCapital Markets
[IMG: BTG Pactual logo]
[H3] BTG Pactual replays order books and tunes pricing algos on QuestDB
BTG Pactual replays order books and analyzes pricing algorithm performance on QuestDB for Capital Markets, and runs the same platform under their real-time equities market data API.Read the full story“QuestDB has become the standard for data aggregation — lightning fast, serving raw live intraday data through our APIs in a few milliseconds.”Renan AvilaDirector, BTG Pactual<10msAPI response time100K+Tickers per table
[IMG: Arrow Right]
[IMG: Arrow Right]
Experience QuestDB now
[H2] Explore our live demo
Our live demo instance is the quickest way to get a feel for QuestDB. Scan more than 2 billion rows in milliseconds. Example queries can get you deep in just a few clicks./* This query takes the best bid price and multiplies it by 1.01. Then it finds the level at which that price would be met inside the prices array. We slide the volume array from the first level until the level we found, and sum all the volumes. Note the use of DECLARE to make the query more readable. *//* This query finds the latest value available for each symbol (crypto pair). The dataset collects live market data from the OKX API. *//* This query performs aggregations for BTC-USDT over the past day, downsampled in 15-minute intervals. We use the SQL extension SAMPLE BY to aggregate data at regular intervals. QuestDB ingests live market data from the OKX API. *//* This query slices the bid and ask volumes from positions 1:4 and sums the arrays. Then it divides bid volume by ask volume to get the imbalance ratio. Note the use of DECLARE to make the query more readable. */ArraysLATEST ONSAMPLE BYVolume RatiosDECLARE @prices := asks[1], @volumes := asks[2], @best_price := @prices[1], @multiplier := 1.01, @target_price := @multiplier * @best_price, @rel_vol := @volumes[ 1:insertion_point(@prices, @target_price) ]SELECT timestamp, array_sum(@rel_vol) total_volumeFROM market_dataWHERE timestamp > dateadd('m', -1, now())AND symbol='EURUSD';Launch demo and see result
[IMG: AI models and coding agents connecting to QuestDB]
[H2] LLMs speak SQL.Your database should too.
Models speak SQL and read open formats like Parquet and Iceberg. QuestDB supports both, exposed via a REST API, so one prompt moves an agent from intent to executed query, with no proprietary client in between.QuestDB for AI AgentsFrom real-time ingest to open data lake
[H2] Delete proprietary, commit open
Ingested data is offloaded into an open data lake in Parquet format, with automatic tiering. One SQL surface queries real-time and historical data across all tiers. If you're already using Python, point your dataframe libraries and AI frameworks at the Parquet files directly, no export needed.
[IMG: QuestDB]
timestampsymbolpricevolume2025-01-01T00:00:00.000EURUSD1.084725000002025-01-01T00:00:01.000GBPUSD1.273418000002025-01-01T00:00:02.000USDJPY149.8232000002025-01-01T00:00:03.000AUDUSD0.645212000002025-01-01T00:00:04.000USDCAD1.376515000002025-01-01T00:00:05.000USDCHF0.8834900000
[IMG: Azure]
Azure Blob
[IMG: Amazon S3]
Amazon S3NFSOne SQL engine, multiple storage tiers
[H2] Real-time and historical data, in one engine.
WHERE symbol in ('AAPL', 'NVDA')LATEST ON timestamp PARTITION BY symbolCREATE MATERIALIZED VIEW 'trades_OHLC'min(price) AS lowtimestamp IN today()SELECT spread_bps(bids[1][1], asks[1][1])FROM read_parquet('trades.parquet')SAMPLE BY 15mTier One: Hot ingest (WAL), durable by defaultIncoming data is appended to the write-ahead log (WAL) with ultra-low latency. Writes are made durable before any processing, preserving order and surviving failures without data loss. The WAL is asynchronously shipped to object storage, so new replicas can bootstrap quickly and read the same history.Tier Two: Real-time SQL on live dataData is time-ordered and de-duplicated into QuestDB's native, time-partitioned columnar format and becomes immediately queryable. Power real-time analysis with vectorized, multi-core execution, streaming materialized views, and time-series SQL (e.g., ASOF JOIN, SAMPLE BY). The query planner spans tiers seamlessly.Tier Three: Cold storage, open and queryableOlder data is automatically tiered to object storage in Apache Parquet. Query it in-place through QuestDB or use any tool that reads Parquet. This delivers predictable costs, interoperability with AI/ML tooling, and zero lock-in.Open by Design
[H2] Open source. Open standards.
[IMG: Docker]
Docker
[IMG: Kubernetes]
Kubernetes
[IMG: Amazon Web Services]
AWS
[IMG: Microsoft Azure]
Azure
[IMG: Google Cloud Platform]
GCP
[IMG: macOS]
macOS
[IMG: Windows]
Windows
[IMG: Linux]
Linux
[H3] Open at every layer
DownloadLicense: Apache 2.0Open standards: Parquet, SQL, PGWireCommunity: 170+ OSS contributors
[H3] Need more?
CompareCompare Enterprise & OSSReliability: HA, replication, failoverScale: Multi-tier storage at petabyte scaleSecurity: RBAC, TLS, SSOSupport: 24/7 expert support, 99.9% uptime SLAGet a demo
[H3] Open at every layer
DownloadLicense: Apache 2.0Open standards: Parquet, SQL, PGWireCommunity: 170+ OSS contributors
[H3] Need more?
CompareCompare Enterprise & OSSReliability: HA, replication, failoverScale: Multi-tier storage at petabyte scaleSecurity: RBAC, TLS, SSOSupport: 24/7 expert support, 99.9% uptime SLAGet a demoPeak performance time-series
[H2] Time-seriesingestion at scale
Write-ahead logging (WAL) for instant durability; time-partitioned columnar engine for speed. Ingest millions of rows/sec and query with SIMD-optimized SQL.Storage EngineViewHigh AvailabilityViewN-Dimensional ArraysViewData DeduplicationView
[IMG: Laser Digital]
“QuestDB brings a SQL-first solution that is easy to connect to our existing tools and able to ingest data at speed. Their commitment to open standards and close collaboration gives us confidence as we continue building out our data capabilities.”Denys RtveliashviliHead of Data, Laser Digital (Nomura Group)4XFaster ingestion than leading competitors in open source benchmarks (TSBS)
[IMG: Ingestion speed benchmark]
[H2] Plug QuestDB into the toolsyour team already uses.
Native integrations across the modern open data stack.PostgresGrafanaKafkaPandasRedpandaPythonSupersetSparkPolarsTelegrafMindsDBFlinkSupersetSparkPolarsTelegrafMindsDBFlinkView all connectionsView all connectionsReal-time analytics for high performance workloads
[H2] Built for the most demandingtime-series use cases
View all use casesCapital Markets
[H3] Pre- and post-trade, in real time
Millisecond SQL on the trading floor, plus an open Parquet data lake for quants to backtest on full history.Explore QuestDB for Capital MarketsCrypto
[H3] High-speed, multi-exchange crypto market data
Continuously ingest tick and order-book streams from dozens of exchanges, run native SQL analytics, and keep on-chain balances exact.View real-time OKX crypto dashboardAerospace
[H3] Real-time insights from in-flight to ground control
Ingest millions of sensor readings per second from aircrafts, rockets, satellites, and jet-engine simulations.
[IMG: Energy Infrastructure]
Energy Infrastructure
[H3] Smarter grids, faster decisions
Energy firms supplying AI datacenters use QuestDB to ingest SCADA, MQTT, and grid telemetry in real time, with years of history on cost-efficient object storage.Robotics
[H3] Physical AI & robotics telemetry
From sensor streams to control logs, QuestDB captures every signal from robot fleets in real time, with full history on object storage for replay, training, and fleet observability.Retail Banking & Payments
[H3] Fraud analytics engine: low-latency ingest, high-concurrency reads
Millisecond SQL scoring across high-cardinality accounts, devices, and merchants—backed by multi-tier storage and open formats for ML.
[IMG: G2]
4.8/5 G2 Rating
[H2] Ready for production?
QuestDB Enterprise adds high availability, security, multi-AZ resilience, a fully distributed architecture for scale, and 24/7 support. For teams running mission-critical workloads.Talk to usLearn more about EnterpriseNeed a hand?
[H2] Join our developer community
Learn how other teams get the most out of QuestDB and participate in our development.QuestDB community forumSlack5,287 membersGet technical support, share best practices, and connect directly with the QuestDB team for advice and troubleshooting.
[IMG: Javier]
[IMG: Nick]
[IMG: Vlad]
[IMG: Nic]
[IMG: Alex]
JoinGitHub17.1kExplore the open source codebase, submit pull requests, and collaborate with over 170 contributors shaping QuestDB worldwide.View
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SUB-PAGE (https://questdb.io/download/) Download | QuestDB
[H1] Download QuestDB
Open source under the Apache 2.0 license. Select your platform and download instantly.
[H2] Why QuestDB?
Built for the most demanding workloads, where throughput and latency are critical.PerformanceIngestion Speed8M+rows/secUltra-fast ingestion, with a robust library of clients and protocols.Query Latency<10msLightning-fast SQL queries with vectorized execution engineQuestDB Wire ProtocolHigh-speed columnar ingress and egress that replaces the text-based protocol.Unlimited CardinalityNo artificial limits on unique values in your time-series dataMemory EfficiencyLow baseline: memory scales with working set only, not total data size.Ease of UseSQL PrimitivesStandard SQL plus SAMPLE BY, ASOF, HORIZON JOIN and N-dimensional arrays.Simple DeploymentSingle binary, Docker, Kubernetes, or package managersWeb ConsoleBuilt-in web interface for data exploration and query executionData Formats & IntegrationParquet StorageParquet format for data portability and cost-effective storagePostgreSQLSupports PostgreSQL Wire Protocol with existing tools and drivers.Get started inunder 60 seconds.Star on GitHubQuestDB Enterprise
[IMG: Airbus logo]
Aerospace
[H3] Airbus monitors fleet data
Processes billions of data points daily. With QuestDB's ingestion performance, Airbus provides real-time monitoring and predictive maintenance for mission critical components.Massive scale: Billions of daily data points processed efficiently"QuestDB is used at Airbus for real-time applications involving billions of data points per day. For us, QuestDB is an outstanding solution that meets (and exceeds) our performance requirements."Oliver Pfeiffer·AirbusSoftware Architect
[IMG: BTG Pactual logo]
Capital Markets
[H3] BTG Pactual powers market data APIs
Latin America's largest investment bank delivers low-latency market data APIs for equities and derivatives trading with millisecond response times.Lightning fast: Market data APIs respond within milliseconds"QuestDB has become the standard for data aggregation. QuestDB has proven itself to be lightning fast, fast enough to help us when providing raw live intraday trading data through our set of APIs within a few milliseconds."Renan Avila·BTG PactualDirector
[IMG: Reflexivity logo]
Financial Technology
[H3] AI for trading insights
Award winning Financial AI analytics platform helps investors make better trading decisions. Achieved 10x faster queries with 75% less hardware after migrating from InfluxDB.Resource optimization: 4x reduction in hardware requirements with better performance"We switched from InfluxDB to QuestDB to get queries that are on average 300x faster utilizing 1/4 of the hardware, without ever overtaxing our servers."Armenak Mayalian·ReflexivityCTORead Reflexivity's case study
[IMG: Airbus logo]
Aerospace
[H3] Airbus monitors fleet data
Processes billions of data points daily. With QuestDB's ingestion performance, Airbus provides real-time monitoring and predictive maintenance for mission critical components.Massive scale: Billions of daily data points processed efficiently"QuestDB is used at Airbus for real-time applications involving billions of data points per day. For us, QuestDB is an outstanding solution that meets (and exceeds) our performance requirements."Oliver Pfeiffer·AirbusSoftware Architect
[IMG: BTG Pactual logo]
Capital Markets
[H3] BTG Pactual powers market data APIs
Latin America's largest investment bank delivers low-latency market data APIs for equities and derivatives trading with millisecond response times.Lightning fast: Market data APIs respond within milliseconds"QuestDB has become the standard for data aggregation. QuestDB has proven itself to be lightning fast, fast enough to help us when providing raw live intraday trading data through our set of APIs within a few milliseconds."Renan Avila·BTG PactualDirector
[IMG: Reflexivity logo]
Financial Technology
[H3] AI for trading insights
Award winning Financial AI analytics platform helps investors make better trading decisions. Achieved 10x faster queries with 75% less hardware after migrating from InfluxDB.Resource optimization: 4x reduction in hardware requirements with better performance"We switched from InfluxDB to QuestDB to get queries that are on average 300x faster utilizing 1/4 of the hardware, without ever overtaxing our servers."Armenak Mayalian·ReflexivityCTORead Reflexivity's case study
[H2] Run QuestDB in production
QuestDB Enterprise: deploy, secure and scale QuestDB in production.Contact salesLearn moreMulti-Tiered StorageUnified SQL across hot data and Parquet on object storage, with auto-tiering to colder layers and native integration with lakehouses like Databricks.SecurityRBAC, OpenID and TLS out of the box.High AvailabilityAuto failover with multi-region read replicas.ScaleDecoupled storage and compute, scaling out to N replicas.Expert SupportDirect line to the creators of QuestDB through dedicated Slack, Teams and email channels, with SLAs that guarantee uptime.Don’t want to self-host? BYOC runs QuestDB Enterprise as a managed service in your own cloud.Explore BYOC
[H3] Trusted by industry leaders
Powering critical data workloads at leading companies globally
[IMG: LD logo]
[IMG: LD logo]
“QuestDB brings a SQL-first solution able to ingest data at speed.”
[IMG: Mizuho logo]
[IMG: OKX logo]
[IMG: Ripple HiddenRoad logo]
[IMG: B3 logo]
[IMG: B3 logo]
Read story99.9%Uptime with QuestDB Enterprise
[IMG: Airbus logo]
[IMG: Airbus logo]
“QuestDB is used at Airbus for real-time applications involving billions of data points per day.”
[IMG: One Trading logo]
[IMG: One Trading logo]
Case study8 millionRows per second ingestion throughput
[IMG: BTG Pactual logo]
[IMG: BTG Pactual logo]
Details“QuestDB has become the standard for data aggregation.”
[IMG: HDFC Bank logo]
[IMG: HDFC Bank logo]
Read story5,000+Queries/second from a single instance
[IMG: Aquis/Six logo]
[IMG: Aquis/Six logo]
Case study“QuestDB is a time series database truly built by developers for developers”
[IMG: Caladan logo]
[IMG: Caladan logo]
Details$170BAnnual transactions across 1,000+ assets
[IMG: User logo]
The next generation has arrivedContact us for a demoLow-latency, multi-tiered architecture.AI-ready, built on open formats.Contact us
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SUB-PAGE (https://questdb.io/enterprise/) QuestDB Enterprise: Production-Grade Time-Series Database | QuestDB
QuestDB for Enterprise
[H1] Run QuestDB in productionwith confidence
Security, HA, and elastic scale with automatic failover.SSO/RBAC/audit, tiered object storage, and SLA-backed creator support.Talk to salesQuestDB Bring Your Own Cloud99.9% uptimeHigh Availability, Auto failoverSecurity & governanceAccess control (SSO/RBAC) & audit logsElastic scaleMulti-tier storage; storage/compute separationTrusted partnershipSLA-backed creator support
[H2] Production grade performance
Premium Enterprise featuresRun QuestDB at scale, with full support from QuestDB's creatorsHighly availableReplication & auto failover, Multi AZRobust securityTLS, SSO (OAuth 2.0/OIDC), RBAC, audit logsTiered storageAuto-tiering: Hot → Cold (Parquet/object storage)Unified query across tiersOne SQL over hot & cold; planner spans partitions + ParquetExpert supportSLA-backed; architecture & performance reviewsDeploy anywhereCloud, on-prem, hybrid, or BYOCHighly availableReplication & auto failover, Multi AZRobust securityTLS, SSO (OAuth 2.0/OIDC), RBAC, audit logsTiered storageAuto-tiering: Hot → Cold (Parquet/object storage)Unified query across tiersOne SQL over hot & cold; planner spans partitions + ParquetExpert supportSLA-backed; architecture & performance reviewsDeploy anywhereCloud, on-prem, hybrid, or BYOC
[H2] Proven at petabyte scale
Capital Markets
[IMG: B3 logo]
[H3] B3 powers Latin America's largest exchange with QuestDB
B3's Central Securities Depository platform runs on QuestDB for Capital Markets, processing every trade on the world's tenth-largest exchange.Read the full story“We chose QuestDB for its speed and straightforward deployment, which fits cleanly into our cloud-native architecture.”Kleber AlmeidaIT Manager, B3$5B+Daily traded volume99.9%Uptime guaranteeCapital Markets
[IMG: BTG Pactual logo]
[H3] BTG Pactual replays order books and tunes pricing algos on QuestDB
BTG Pactual replays order books and analyzes pricing algorithm performance on QuestDB for Capital Markets, and runs the same platform under their real-time equities market data API.Read the full story“QuestDB has become the standard for data aggregation — lightning fast, serving raw live intraday data through our APIs in a few milliseconds.”Renan AvilaDirector, BTG Pactual<10msAPI response time100K+Tickers per tableCapital Markets
[IMG: One Trading logo]
[H3] One Trading runs regulated digital asset trading on QuestDB
One Trading's regulated crypto exchange runs on QuestDB for Capital Markets, ingesting billions of trades for real-time market surveillance and latency analysis.Read the full story“QuestDB is an essential part of our trading platform — a high-speed, scalable store for billions of trades we can query in real time.”Steven HarperChief Security Officer, One Trading8M+Rows/sec ingest1stEuropean MiFID II derivatives exchange
[IMG: Arrow Right]
[IMG: Arrow Right]
[H2] Peace of mind at any scale
Distributed writes and readsToday: Automatic replication & failover; sub-second read replicas across regions via object storage (S3/Azure/GCS/NFS/HDFS). Next (coming soon): Multi-primary writes for continuous availability and zero-downtime upgrades.Read more about high availabilityToday: Automatic replication & failover; sub-second read replicas across regions via object storage (S3/Azure/GCS/NFS/HDFS). Next (coming soon): Multi-primary writes for continuous availability and zero-downtime upgrades.Distributed architecturePrimary instance writes data to a Write Ahead Log (WAL) and uploads these files to an object store. Replica instances download and apply these files to stay in sync.Primary failoverAutomatic failover to standby replicas in <100ms. Prevent data loss and ensure high availability. Cold or hot replication strategies to manage costs and recovery speed.Concurrent requests & multi-regionEasily spin up replicas across regions with sub-second read latency. All replicas maintain identical state through WAL. Split queries across instances for real-time and historic analysis.Distributed architecturePrimary instance writes data to a Write Ahead Log (WAL) and uploads these files to an object store. Replica instances download and apply these files to stay in sync.[1/3]
[IMG: Previous]
[IMG: Next]
[IMG: Distributed architecture]
[IMG: Primary failover]
[IMG: Concurrent requests & multi-region]
Open formatsLeverages existing open formats. No vendor lock-in.Apache ParquetEnhanced compression and encoding, for ingress or egress.Super read/writeFast ingest and low latency SQL queriesFull streamStream market data in from feeds or sensors, apply Parquet on readDirect to Parquet?Bypass QuestDB ingest, query Parquet directly from the object storeVersatile ecosystemDiverse clients connect to your data, app, AI and ML frameworksQuestDB Open SourceQuestDB EnterprisePrimary UseEvaluation, prototyping, pilotsProduction deploymentsEngine & PerformanceHigh-performance core engineRead/write isolation with replicasSame high-performance core engineSecurityBasicBasic auth over unencrypted transmissionEnterprise-gradeRBAC incl. column-level; TLS encryption (all protocols)User ManagementLimitedBuilt-in Admin user with a configurable read-only userAdvancedUnlimited native users, groups, and service accounts. SSO supported for OAuth/OIDC/Azure Entra IDScalabilityNoneSingle instanceHorizontally scalableScale to N-replicasHigh AvailabilityNoneSingle instance; no replication/failoverMulti-instanceCloud-native, high availability, read replicas, primary failoverBackups & SnapshotsManualFull backups into local storageFully automatedIncremental snapshots into object storesDisaster RecoveryFrom backupRestore from a previous full backupFlexibleRestore from a previous full backup or do automated point-in-time (PITR) recoveryStorage & Data LakeNo integrated tieringData stored on local storageTiered storageTiered storage with cloud object stores (Azure Blob, Amazon S3, GCS, Oracle Cloud Storage)Lifecycle PoliciesExpireAutomatic Downsampling with Materialized Views. Data can be deleted via TTL.ArchiveAutomatic Downsampling with Materialized Views. Data can be deleted or archived to tiered storage via TTL. On-demand recall of historical dataDeploymentSelf-managedBinaries, containers, and source code availableCustomSelf-managed or Bring Your Own Cloud (BYOC), with QuestDB ops team taking care of your deployment, on-premises or cloud-nativeSupport & SLAsLimitedCommunity support onlyUnlimited access to dedicated supportDirect access to QuestDB engineers. Guaranteed response-time SLAs. Guidance beyond break-fix.Emergency Patches & Bug FixesCommunity releases onlyBest effortYesCustomer-priority hotfixes and security patchesRoadmap & Feature RequestsLimitedPublic/community via GitHubPriority requestsEarly access to new features, enterprise-specific enhancementsDownload now
[IMG: QuestDB Enterprise]
[H3] Ready to deploy QuestDB Enterprise?
Talk to us to learn more
[H3] Primary Use
QuestDB Open SourceEvaluation, prototyping, pilotsQuestDB EnterpriseProduction deployments
[H3] Primary Use
QuestDB Open SourceEvaluation, prototyping, pilotsQuestDB EnterpriseProduction deployments
[H3] Primary Use
QuestDB Open SourceEvaluation, prototyping, pilotsQuestDB EnterpriseProduction deployments
[H3] Primary Use
QuestDB Open SourceEvaluation, prototyping, pilotsQuestDB EnterpriseProduction deployments
[H3] Engine & Performance
QuestDB Open SourceHigh-performance core engineQuestDB EnterpriseRead/write isolation with replicasSame high-performance core engine
[H3] Engine & Performance
QuestDB Open SourceHigh-performance core engineQuestDB EnterpriseRead/write isolation with replicasSame high-performance core engine
[H3] Engine & Performance
QuestDB Open SourceHigh-performance core engineQuestDB EnterpriseRead/write isolation with replicasSame high-performance core engine
[H3] Engine & Performance
QuestDB Open SourceHigh-performance core engineQuestDB EnterpriseRead/write isolation with replicasSame high-performance core engine
[H3] Security
QuestDB Open SourceBasicBasic auth over unencrypted transmissionQuestDB EnterpriseEnterprise-gradeRBAC incl. column-level; TLS encryption (all protocols)
[H3] Security
QuestDB Open SourceBasicBasic auth over unencrypted transmissionQuestDB EnterpriseEnterprise-gradeRBAC incl. column-level; TLS encryption (all protocols)
[H3] Security
QuestDB Open SourceBasicBasic auth over unencrypted transmissionQuestDB EnterpriseEnterprise-gradeRBAC incl. column-level; TLS encryption (all protocols)
[H3] Security
QuestDB Open SourceBasicBasic auth over unencrypted transmissionQuestDB EnterpriseEnterprise-gradeRBAC incl. column-level; TLS encryption (all protocols)
[H3] User Management
QuestDB Open SourceLimitedBuilt-in Admin user with a configurable read-only userQuestDB EnterpriseAdvancedUnlimited native users, groups, and service accounts. SSO supported for OAuth/OIDC/Azure Entra ID
[H3] User Management
QuestDB Open SourceLimitedBuilt-in Admin user with a configurable read-only userQuestDB EnterpriseAdvancedUnlimited native users, groups, and service accounts. SSO supported for OAuth/OIDC/Azure Entra ID
[H3] User Management
QuestDB Open SourceLimitedBuilt-in Admin user with a configurable read-only userQuestDB EnterpriseAdvancedUnlimited native users, groups, and service accounts. SSO supported for OAuth/OIDC/Azure Entra ID
[H3] User Management
QuestDB Open SourceLimitedBuilt-in Admin user with a configurable read-only userQuestDB EnterpriseAdvancedUnlimited native users, groups, and service accounts. SSO supported for OAuth/OIDC/Azure Entra ID
[H3] Scalability
QuestDB Open SourceNoneSingle instanceQuestDB EnterpriseHorizontally scalableScale to N-replicas
[H3] Scalability
QuestDB Open SourceNoneSingle instanceQuestDB EnterpriseHorizontally scalableScale to N-replicas
[H3] Scalability
QuestDB Open SourceNoneSingle instanceQuestDB EnterpriseHorizontally scalableScale to N-replicas
[H3] Scalability
QuestDB Open SourceNoneSingle instanceQuestDB EnterpriseHorizontally scalableScale to N-replicas
[H3] High Availability
QuestDB Open SourceNoneSingle instance; no replication/failoverQuestDB EnterpriseMulti-instanceCloud-native, high availability, read replicas, primary failover
[H3] High Availability
QuestDB Open SourceNoneSingle instance; no replication/failoverQuestDB EnterpriseMulti-instanceCloud-native, high availability, read replicas, primary failover
[H3] High Availability
QuestDB Open SourceNoneSingle instance; no replication/failoverQuestDB EnterpriseMulti-instanceCloud-native, high availability, read replicas, primary failover
[H3] High Availability
QuestDB Open SourceNoneSingle instance; no replication/failoverQuestDB EnterpriseMulti-instanceCloud-native, high availability, read replicas, primary failover
[H3] Backups & Snapshots
QuestDB Open SourceManualFull backups into local storageQuestDB EnterpriseFully automatedIncremental snapshots into object stores
[H3] Backups & Snapshots
QuestDB Open SourceManualFull backups into local storageQuestDB EnterpriseFully automatedIncremental snapshots into object stores
[H3] Backups & Snapshots
QuestDB Open SourceManualFull backups into local storageQuestDB EnterpriseFully automatedIncremental snapshots into object stores
[H3] Backups & Snapshots
QuestDB Open SourceManualFull backups into local storageQuestDB EnterpriseFully automatedIncremental snapshots into object stores
[H3] Disaster Recovery
QuestDB Open SourceFrom backupRestore from a previous full backupQuestDB EnterpriseFlexibleRestore from a previous full backup or do automated point-in-time (PITR) recovery
[H3] Disaster Recovery
QuestDB Open SourceFrom backupRestore from a previous full backupQuestDB EnterpriseFlexibleRestore from a previous full backup or do automated point-in-time (PITR) recovery
[H3] Disaster Recovery
QuestDB Open SourceFrom backupRestore from a previous full backupQuestDB EnterpriseFlexibleRestore from a previous full backup or do automated point-in-time (PITR) recovery
[H3] Disaster Recovery
QuestDB Open SourceFrom backupRestore from a previous full backupQuestDB EnterpriseFlexibleRestore from a previous full backup or do automated point-in-time (PITR) recovery
[H3] Storage & Data Lake
QuestDB Open SourceNo integrated tieringData stored on local storageQuestDB EnterpriseTiered storageTiered storage with cloud object stores (Azure Blob, Amazon S3, GCS, Oracle Cloud Storage)
[H3] Storage & Data Lake
QuestDB Open SourceNo integrated tieringData stored on local storageQuestDB EnterpriseTiered storageTiered storage with cloud object stores (Azure Blob, Amazon S3, GCS, Oracle Cloud Storage)
[H3] Storage & Data Lake
QuestDB Open SourceNo integrated tieringData stored on local storageQuestDB EnterpriseTiered storageTiered storage with cloud object stores (Azure Blob, Amazon S3, GCS, Oracle Cloud Storage)
[H3] Storage & Data Lake
QuestDB Open SourceNo integrated tieringData stored on local storageQuestDB EnterpriseTiered storageTiered storage with cloud object stores (Azure Blob, Amazon S3, GCS, Oracle Cloud Storage)
[H3] Lifecycle Policies
QuestDB Open SourceExpireAutomatic Downsampling with Materialized Views. Data can be deleted via TTL.QuestDB EnterpriseArchiveAutomatic Downsampling with Materialized Views. Data can be deleted or archived to tiered storage via TTL. On-demand recall of historical data
[H3] Lifecycle Policies
QuestDB Open SourceExpireAutomatic Downsampling with Materialized Views. Data can be deleted via TTL.QuestDB EnterpriseArchiveAutomatic Downsampling with Materialized Views. Data can be deleted or archived to tiered storage via TTL. On-demand recall of historical data
[H3] Lifecycle Policies
QuestDB Open SourceExpireAutomatic Downsampling with Materialized Views. Data can be deleted via TTL.QuestDB EnterpriseArchiveAutomatic Downsampling with Materialized Views. Data can be deleted or archived to tiered storage via TTL. On-demand recall of historical data
[H3] Lifecycle Policies
QuestDB Open SourceExpireAutomatic Downsampling with Materialized Views. Data can be deleted via TTL.QuestDB EnterpriseArchiveAutomatic Downsampling with Materialized Views. Data can be deleted or archived to tiered storage via TTL. On-demand recall of historical data
[H3] Deployment
QuestDB Open SourceSelf-managedBinaries, containers, and source code availableQuestDB EnterpriseCustomSelf-managed or Bring Your Own Cloud (BYOC), with QuestDB ops team taking care of your deployment, on-premises or cloud-native
[H3] Deployment
QuestDB Open SourceSelf-managedBinaries, containers, and source code availableQuestDB EnterpriseCustomSelf-managed or Bring Your Own Cloud (BYOC), with QuestDB ops team taking care of your deployment, on-premises or cloud-native
[H3] Deployment
QuestDB Open SourceSelf-managedBinaries, containers, and source code availableQuestDB EnterpriseCustomSelf-managed or Bring Your Own Cloud (BYOC), with QuestDB ops team taking care of your deployment, o
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SUB-PAGE (https://questdb.io/capital-markets/) QuestDB for Capital Markets | High performance & open source time-series database
Introducing our live FX chartsView
[H1] Next generation databasefor capital markets
QuestDB is a high-performance, open-source time-series database for capital markets. Stream data in real-time, then offload to open formats like Parquet. Leverage extended time-series SQL for near-instant queries.Contact usLive demoPowering critical market infrastructure at leading companies globally
[IMG: B3]
[IMG: Mizuho]
[IMG: User logo]
[IMG: OKX]
[IMG: User logo]
[IMG: SIX Group]
[IMG: User logo]
[IMG: Laser Digital]
[IMG: Live FX dashboard]
Live FX Orderbook Dashboard →
[H3] Fast ingest and egress
Write over 8M rows/sec per server, even through dedup and out-of-order indexing.
[H3] Built for trading
Nanosecond timestamps, order book analytics, and post-trade analysis.
[H3] Open formats
No vendor lock-in. Open protocols and open source. Always.
[H3] Operational simplicity
Start in minutes with Python and SQL. No consultants needed.
[H3] Hardware efficiency
You won't need terabytes of RAM to process tick data.
[H3] Scale-ready
Scale vertically and horizontally with HA and multi-writes.
[IMG: One Trading]
[IMG: XRP Ledger]
[IMG: B3 Exchange]
Trading technology
[H3] Low-latency exchange for Digital Assets
First MiFID II exchange in the industry achieves sub-200 microsecond round-trip latency8 MillionRows per second ingestion throughput"QuestDB is an essential part of our trading platform—giving us a high-speed, scalable store for billions of trades that we can query in real time."Steven HarperChief Security Officer, One TradingBlockchain
[H3] XRP Ledger reduces TCO
Provides real-time market data for over 46,000 unique trading pairs on one of the largest blockchains. Serves both the XRP Ledger and Xahau, XRP's first smart contract sidechain.90%Cost reduction"QuestDB outperforms a legacy cloud-based data platform at a fraction of the cost, reducing TCO by more than 90%."Daniel SiedentopfSenior Software Developer, XRP LedgerExchange
[H3] Latin America's largest stock exchange
B3, Brazil's main stock exchange, lists 420 companies across its stock and over-the-counter markets.99.9%Uptime with QuestDB Enterprise"The Central Securities Depository platform demands exceptional performance, robust security, and resilience."Kleber AlmeidaManager, Exchange Technology, B3 Exchange
[IMG: TradingTech Insight Awards Europe 2026 Winner — QuestDB — Best Trading Analytics Platform]
Read more
[H3] Pre-trade analysis
Real-time indicators and OHLC chart analysis for signal generation.Learn more
[H3] Post-trade analysis
TCA & markouts to benchmark execution and troubleshoot trading.Learn more
[H3] Backtesting
Simulate and evaluate trading strategies against historical market conditions.Learn more
[H3] Exchange surveillance
Capture every message flowing into exchanges with high reliability and speed.Learn moreQuestDB Enterprise
[H2] Built for production. Designed for scale.
99.9% uptimeHigh Availability, Auto failoverSecurity & governanceAccess control (SSO/RBAC) & audit logsElastic scaleMulti-tier storage; storage/compute separationTrusted partnershipSLA-backed creator supportSignals from every tick
[H2] Pre-trade analysis
Real-time indicators in SQL. SMA, EMA, VWAP, and volatility directly over tick data via window functions.Tick-to-candle pipelines. Materialized views stream OHLCV and cascade into higher timeframes, refreshed incrementally.Live order-book analytics. Depth, spread, and BBO lookups via l2price() over array-stored books.Quant-stack handoff. Zero-copy exports to Pandas, Polars, DuckDB, Rust, C++, and Java for signal research.
[H3] Cascade views
Chain MVs: raw ticks to 1s OHLCV to 1m OHLCV to VWAP. Each step refreshes incrementally, never full-rebuilds.
[H3] Dedup on write
Late-arriving ticks and replayed feeds stay correct without rebuilding or double-counting.
[H3] Millisecond freshness
Views refresh as new data lands. Downstream charts, alerts, and quants never wait for batch.
[H3] Downsample to Parquet
Tier view data to Parquet on disk or object storage. Queryable from QuestDB or your data lake, no duplication.
[H3] Cascade views
Chain MVs: raw ticks to 1s OHLCV to 1m OHLCV to VWAP. Each step refreshes incrementally, never full-rebuilds.
[H3] Dedup on write
Late-arriving ticks and replayed feeds stay correct without rebuilding or double-counting.
[H3] Millisecond freshness
Views refresh as new data lands. Downstream charts, alerts, and quants never wait for batch.
[H3] Downsample to Parquet
Tier view data to Parquet on disk or object storage. Queryable from QuestDB or your data lake, no duplication.
[H3] Cascade views
Chain MVs: raw ticks to 1s OHLCV to 1m OHLCV to VWAP. Each step refreshes incrementally, never full-rebuilds.
[H3] Dedup on write
Late-arriving ticks and replayed feeds stay correct without rebuilding or double-counting.
[H3] Millisecond freshness
Views refresh as new data lands. Downstream charts, alerts, and quants never wait for batch.
[H3] Downsample to Parquet
Tier view data to Parquet on disk or object storage. Queryable from QuestDB or your data lake, no duplication.
[IMG: Laser Digital]
QuestDB brings a SQL-first solution that is easy to connect to our existing tools and able to ingest data at speed. Their commitment to open standards and close collaboration gives us confidence as we continue building out our data capabilities.Denys RtveliashviliHead of Data, Laser Digital (Nomura Group)
[IMG: G2]
9.7/10 G2 Performance Rating
[H2] Deploy market leading workloads at scale.
QuestDB offers massive performance, hardware efficiency and open formats. Save costs, avoid vendor lock-in and lengthy onboarding processes, and move fast with our expert team.Talk to usCompare QuestDB with kdb+HORIZON JOIN
[H2] Post-trade analysis
Measure execution quality across every fill, venue, and counterparty. Run full TCA pipelines from slippage and markout curves to implementation shortfall decomposition. Score venues and liquidity providers, benchmark against mid, BBO, and VWAP, and generate best execution reports at scale. Built for trading desks, execution algos, and compliance teams.Explore the post-trade cookbookQuestDB SQLRun on live demo-- sell side markoutDECLARE @mid := (m.best_bid + m.best_ask) / 2SELECT t.symbol, h.offset / 1000000000 AS horizon_sec, count() AS n, avg((t.price - @mid) / t.price * 10000) AS a_markout_bps, sum((t.price - @mid) * t.quantity) AS total_pnlFROM fx_trades tHORIZON JOIN market_data m ON (symbol) LIST (-1s, 0, 1s, 5s, 10s) AS hWHERE t.side = 'sell' AND t.timestamp IN '$now-1h..$now'GROUP BY t.symbol, horizon_secORDER BY t.symbol, horizon_sec;
[H3] As-of Join
Match every fill to its prior book snapshot. Powers slippage vs mid and top-of-book.
[H3] Window Join
Aggregate quotes in pre/post bands around every fill. Drives implementation shortfall and pre/post markouts.
[H3] Horizon Join
Markouts at every horizon in one query, per counterparty, venue, or strategy.
[IMG: Backtesting Diagram]
High-Performance data transfer for backtesting
[H2] Backtesting madesimple
Extract historical market data through native Apache Parquet and integrate seamlessly with programming languages such as Rust, Python, C++, and Java.Execute complex, multi-pass analyses and random data access to develop and test sophisticated strategies through popular data processing tools like Polars or Pandas.
[IMG: SIX Group]
Read the case studyAquis Exchange (Part of SIX) provides primary and secondary markets for high growth companies, with over €2bn daily turnover. QuestDB processes massive volumes of data and captures every tick, trade, and latency metric.Process every exchange message
[H2] QuestDB for exchanges
QuestDB enables comprehensive exchange surveillance by capturing every message with high throughput, allowing for real-time monitoring and detection of suspicious activities. Its efficient data storage ensure that all transactional data is preserved in compliance with regulatory requirements, facilitating accurate reporting and audits.
[IMG: QuestDB for exchanges — surveillance data table]
[H3] Comprehensive data storage
Store every message: New orders, Acks, Fills, Matching engine outputs, Market data, Post‐trade and settlement, and network traffic data. Don't miss a single event.
[H3] Latency reporting
Build mission-critical latency reports about end-to-end travel of each message and detect anomalies in real-time. Every millisecond is crucial.
[H3] Real-time surveillance
Monitor trading activity in real-time, detect suspicious activity, and build reports for regulators. Uncompromising reliability and performance when under observation.
[IMG: Anti Capital]
Many databases are easy to use when you first start them up. The difference is, QuestDB works just as well many months (and terabytes) later.Maxwell BeckerLead System Engineer, Anti Capital
[H2] A single time-series engine connecting agents, apps, and systems to your data.
Hyper ingestion, microsecond queries, and powerful SQL.Lower bills through peak efficiency.Contact us for a demo
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🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
22Review mentions (all pages)
0External proof links (all pages)
PageReviewsProof links
/ (home) 4 0
/download/ 5 0
/enterprise/ 8 0
/capital-markets/ 5 0
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Homepage schema
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    {
        "@context": "https://schema.org",
        "@type": "Organization",
        "@id": "https://questdb.com/#organization",
        "name": "QuestDB",
        "url": "https://questdb.com",
        "logo": "https://questdb.com/images/questdb-logo-themed.svg",
        "description": "Open-source time-series database",
        "foundingDate": "2019",
        "award": "Best Trading Analytics Platform, TradingTech Insight Awards Europe 2026 (A-Team Group)",
        "sameAs": [
            "https://github.com/questdb/questdb",
            "https://twitter.com/questdb",
            "https://www.linkedin.com/company/questdb/",
            "https://www.youtube.com/@questdb"
        ]
    },
    {
        "@context": "https://schema.org",
        "@type": "SoftwareApplication",
        "name": "QuestDB",
        "url": "https://questdb.com",
        "applicationCategory": "Database",
        "operatingSystem": "Linux, macOS, Windows, Docker",
        "license": "https://www.apache.org/licenses/LICENSE-2.0",
        "description": "QuestDB is a high-performance, open-source time-series database for fast ingest and SQL queries.",
        "downloadUrl": "https://questdb.com/download/",
        "offers": {
            "@type": "Offer",
            "price": "0",
            "priceCurrency": "USD"
        }
    },
    {
        "@context": "https://schema.org",
        "@graph": [
            {
                "@type": "WebSite",
                "@id": "https://questdb.com/#website",
                "name": "QuestDB",
                "url": "https://questdb.com"
            },
            {
                "@type": "WebPage",
                "@id": "https://questdb.com/#webpage",
                "url": "https://questdb.com",
                "isPartOf": {
                    "@id": "https://questdb.com/#website"
                },
                "about": {
                    "@id": "https://questdb.com/#organization"
                },
                "mentions": [
                    {
                        "@type": "Organization",
                        "name": "Laser Digital"
                    },
                    {
                        "@type": "Organization",
                        "name": "Mizuho"
                    },
                    {
                        "@type": "Organization",
                        "name": "OKX"
                    },
                    {
                        "@type": "Organization",
                        "name": "Ripple"
                    },
                    {
                        "@type": "Organization",
                        "name": "Hidden Road"
                    },
                    {
                        "@type": "Organization",
                        "name": "B3"
                    },
                    {
                        "@type": "Organization",
                        "name": "Airbus"
                    },
                    {
                        "@type": "Organization",
                        "name": "One Trading"
                    },
                    {
                        "@type": "Organization",
                        "name": "BTG Pactual"
                    },
                    {
                        "@type": "Organization",
                        "name": "HDFC Bank"
                    },
                    {
                        "@type": "Organization",
                        "name": "SIX"
                    },
                    {
                        "@type": "Organization",
                        "name": "Aquis"
                    },
                    {
                        "@type": "Organization",
                        "name": "Caladan"
                    }
                ]
            }
        ]
    }
]
/download/
[
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        "name": "QuestDB",
        "url": "https://questdb.com",
        "logo": "https://questdb.com/images/questdb-logo-themed.svg",
        "description": "Open-source time-series database",
        "foundingDate": "2019",
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        "name": "QuestDB",
        "url": "https://questdb.com",
        "applicationCategory": "Database",
        "operatingSystem": "Linux, macOS, Windows, Docker",
        "license": "https://www.apache.org/licenses/LICENSE-2.0",
        "description": "QuestDB is a high-performance, open-source time-series database for fast ingest and SQL queries.",
        "downloadUrl": "https://questdb.com/download/",
        "offers": {
            "@type": "Offer",
            "price": "0",
            "priceCurrency": "USD"
        }
    }
]
/enterprise/
[
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        "@type": "Organization",
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        "name": "QuestDB",
        "url": "https://questdb.com",
        "logo": "https://questdb.com/images/questdb-logo-themed.svg",
        "description": "Open-source time-series database",
        "foundingDate": "2019",
        "award": "Best Trading Analytics Platform, TradingTech Insight Awards Europe 2026 (A-Team Group)",
        "sameAs": [
            "https://github.com/questdb/questdb",
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            "https://www.linkedin.com/company/questdb/",
            "https://www.youtube.com/@questdb"
        ]
    },
    {
        "@context": "https://schema.org",
        "@type": "SoftwareApplication",
        "name": "QuestDB",
        "url": "https://questdb.com",
        "applicationCategory": "Database",
        "operatingSystem": "Linux, macOS, Windows, Docker",
        "license": "https://www.apache.org/licenses/LICENSE-2.0",
        "description": "QuestDB is a high-performance, open-source time-series database for fast ingest and SQL queries.",
        "downloadUrl": "https://questdb.com/download/",
        "offers": {
            "@type": "Offer",
            "price": "0",
            "priceCurrency": "USD"
        }
    }
]
/capital-markets/
[
    {
        "@context": "https://schema.org",
        "@type": "Organization",
        "@id": "https://questdb.com/#organization",
        "name": "QuestDB",
        "url": "https://questdb.com",
        "logo": "https://questdb.com/images/questdb-logo-themed.svg",
        "description": "Open-source time-series database",
        "foundingDate": "2019",
        "award": "Best Trading Analytics Platform, TradingTech Insight Awards Europe 2026 (A-Team Group)",
        "sameAs": [
            "https://github.com/questdb/questdb",
            "https://twitter.com/questdb",
            "https://www.linkedin.com/company/questdb/",
            "https://www.youtube.com/@questdb"
        ]
    },
    {
        "@context": "https://schema.org",
        "@type": "SoftwareApplication",
        "name": "QuestDB",
        "url": "https://questdb.com",
        "applicationCategory": "Database",
        "operatingSystem": "Linux, macOS, Windows, Docker",
        "license": "https://www.apache.org/licenses/LICENSE-2.0",
        "description": "QuestDB is a high-performance, open-source time-series database for fast ingest and SQL queries.",
        "downloadUrl": "https://questdb.com/download/",
        "offers": {
            "@type": "Offer",
            "price": "0",
            "priceCurrency": "USD"
        }
    }
]

Your Diagnosis

Before revealing the machine’s verdict, predict the BS score for each signal. Higher = more BS (more fluff, less verifiable substance). Drag each slider, then submit to compare your judgment against the engine.

Information Density 0 / 30
Read the Narrative & headings: do hard facts (prices, dates, numbers) outweigh fluff power-words?
Semantic Coherence 0 / 20
Compare the homepage promise against the sub-page reality. Do they hold the same line?
Trust & Proof 0 / 20
Weigh review mentions against actual external proof links. Claims without verification = theatre.
Commodity Fingerprint 0 / 15
Check headings & narrative against the industry clichés in the setup above.
Identity & Authority 0 / 15
Inspect the schema: is there real Organization/Person identity with sameAs links, or gaps?
Your predicted BS score 0 / 100
💡 Stuck? Reveal the heuristic lens — how the deterministic page-auditor reads each signal (no AI, pure pattern rules)

These are the structural rules a local, deterministic auditor applies — the same lens you can use to judge each signal. They describe what to look for, not this company’s result.

Information Density

Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.

Semantic Alignment

Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.

Trust & Proof

Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.

Commodity Fingerprint

Look at how much sentence length varies. Natural writing varies its rhythm; templated or mass-produced copy is statistically uniform. Very low variation reads as commodity content — unless unique named entities break the pattern.

Identity & Authority

Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.

Want to apply this lens yourself? The free BS Indicator Chrome extension runs these heuristic checks live on any page. Bear in mind it is a single-page, deterministic tool — it relies only on pattern rules for the page in front of it and does not perform the cross-page semantic correlation this audit uses, so its readout is a starting lens, not the full verdict.

B
BS Level
Software, SaaS & Tech Products
33.1 Avg BS

Based on 1129 businesses audited.

BS Detector

Software, SaaS & Tech Products BS: QuestDB (questdb.io)

https://questdb.io 📍 Industry: Software, SaaS & Tech Products
21 BS / 100

This is a rare example of a high-substance technical site. While it adopts some modern AI-centric marketing terminology, it remains rooted in verifiable database architecture and hardware-level performance benchmarks.

Info Density Power-words vs. Substance ratio.
6
20% BS
Semantic Coherence Homepage promise vs. Sub-page reality.
2
10% BS
Trust & Proof Verifiable evidence vs. Trust Theatre.
9
45% BS
Commodity Fingerprint Detection of industry clichés/templates.
4
27% BS
Identity & Authority Expert verifiability & Schema depth.
0
0% BS

1. Add outbound links to the third-party G2 or Capterra reviews to satisfy the proof_links_count requirement. 2. Provide a public status page or historical uptime record to substantiate the 99.9 percent uptime claim. 3. Reduce the repetition of the ‘8 million rows’ benchmark across every sub-page to lower concept repetition penalties. 4. Explicitly link the ‘AI agent’ H1 on the homepage to a dedicated technical documentation page about agentic query execution.

QuestDB aligns perfectly with the high-performance database industry. The content focuses on time-series primitives, ingestion throughput, and low-latency queries, which are the standard technical requirements for this category.

“The score of 21 is low, indicating high credibility. The points lost are primarily due to the trust theatre metadata gap (0 proof links vs presence of reviews) and the slight trend-chasing in the AI-focused homepage headings.”

Verified Analysis Date: June 19, 2026 © 1EuroSEO Independent Evaluator — Non-Sponsored Result
Brand AI Reputation