Industry Context — Common BS Fingerprints in Software, SaaS & Tech Products
PostgreSQL Global Development Group
(https://postgresql.org) 📸 Data Snapshot: June 11, 2026Analyze 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 PostgreSQL: The world's most advanced open source database (https://postgresql.org)
PostgreSQL: The world's most advanced open source database
The official site for PostgreSQL, the world
NAV_HEADING_REPEATED_BODY PostgreSQL: Downloads (https://postgresql.org/download/)
PostgreSQL: Downloads
HEADER_HEADING_REPEATED_BODY PostgreSQL: PostgreSQL 19 Beta 1 Released! (https://postgresql.org/about/news/postgresql-19-beta-1-released-3313/)
PostgreSQL: PostgreSQL 19 Beta 1 Released!
HEADING_REPEATED_BODY PostgreSQL: Versioning Policy (https://postgresql.org/support/versioning/)
PostgreSQL: Versioning Policy
NAV_HEADING_REPEATED_BODY PostgreSQL: Community (https://postgresql.org/community/)
PostgreSQL: Community
NAV_HEADING_REPEATED_BODY_FOOTER PostgreSQL: About (https://postgresql.org/about/)
PostgreSQL: About
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://postgresql.org) PostgreSQL: The world's most advanced open source database
[IMG: PostgreSQL Elephant Logo] [H2] New to PostgreSQL? PostgreSQL is a powerful, open source object-relational database system with over 35 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation. The open source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learn more on how to engage with the community. Learn More Feature Matrix Governance [H2] Latest Releases 2026-06-04 - PostgreSQL 19 Beta 1 Released! The PostgreSQL Global Development Group announces that the first beta release of PostgreSQL 19 is now available for download. This release contains PostgreSQL 19 feature previews ahead of general availability, though some details of the release can change during the beta period. You can find information about all of the PostgreSQL 19 features and changes in the release notes. In the spirit of the open source PostgreSQL community, we strongly encourage you to test the new features of PostgreSQL 19 on your systems to help us eliminate bugs and other issues. While we do not advise you to run beta versions in production environments, we encourage you to find ways to run your typical application workloads against this beta release. Your testing and feedback help the community ensure that PostgreSQL 19 upholds our standards of delivering a stable, reliable release of the world's most advanced open source relational database. Please read more about our beta testing process and how you can contribute. PostgreSQL 14 will stop receiving fixes on November 12, 2026. If you are running PostgreSQL 14 in a production environment, we suggest that you make plans to upgrade to a newer, supported version of PostgreSQL. Please see our versioning policy for more information. 18.4 · 2026-05-14 · Notes 17.10 · 2026-05-14 · Notes 16.14 · 2026-05-14 · Notes 15.18 · 2026-05-14 · Notes 14.23 · 2026-05-14 · Notes Download Why Upgrade? Security [H2] Upcoming Events 2026-06-16 – 2026-06-18 · POSETTE: An Event for Postgres 2026 [IMG: PostgreSQL Community Event] 2026-06-25 – 2026-06-26 · Swiss PGDay 2026 [IMG: PostgreSQL Community Event] 2026-09-08 · PGDay UK 2026 [IMG: PostgreSQL Community Event] 2026-10-20 – 2026-10-23 · PGConf.EU 2026 [IMG: PostgreSQL Community Event] 2026-10-25 · PGDay Israel 2026 [IMG: PostgreSQL Community Event] 2026-10-30 · PG Down Under 2026 [IMG: PostgreSQL Community Event] 2026-11-18 – 2026-11-21 · PgConf.Nepal 2026 [IMG: PostgreSQL Community Event] indicates that an event is recognised under the community event guidelines and is directly helping the PostgreSQL community. Check Schedule Add Your Event [H2] Mailing Lists The PostgreSQL mailing lists enable you to interact with active community participants on subjects related to the development of PostgreSQL, discovering how to use PostgreSQL, or learning about upcoming events and product releases. In order to manage your mailing list subscription, you need a PostgreSQL community account. Signing up is easy and gives you direct access to the global PostgreSQL community. Subscribe View Archives
SUB-PAGE (https://postgresql.org/download/) PostgreSQL: Downloads
[H2] Quick Links Downloads Packages Source Software Catalogue File Browser [H1] Downloads [H2] PostgreSQL Downloads PostgreSQL is available for download as ready-to-use packages or installers for various platforms, as well as a source code archive if you want to build it yourself. [H3] Packages and Installers Select your operating system family: Linux [IMG: Linux Logo] macOS [IMG: Apple Logo] Windows [IMG: Windows Logo] BSD [IMG: BSD Logo] Solaris [IMG: Solaris Logo] Select your Linux distribution: Debian [IMG: Debian Logo] Red Hat/Rocky/AlmaLinux [IMG: Red Hat Logo] SUSE [IMG: SUSE Logo] Ubuntu [IMG: Ubuntu Logo] Other Linux [IMG: Linux Logo] Select your BSD operating system: OpenBSD [IMG: OpenBSD Logo] FreeBSD [IMG: FreeBSD Logo] NetBSD [IMG: NetBSD Logo] [H3] Source code The source code can be found in the main file browser or you can access the source control repository directly at git.postgresql.org. Instructions for building from source can be found in the documentation. [H3] Beta/RC Releases and development snapshots (unstable) There are source code and binary packages of beta and release candidates, and of the current development code available for testing and evaluation of new features. Note that these builds should be used for testing purposes only, and not for production systems. [H2] Additional Software [H3] Software Catalogue There is much software available that is not bundled with PostgreSQL. The Software Catalogue offers a listing of many commercial and Open Source applications, interfaces and extensions to PostgreSQL that you may find useful. If you wish to have your product listed in the catalogue, please fill out this form. [H2] File Browser You can download most of the software we publish from a mirror site using our File Browser.
SUB-PAGE (https://postgresql.org/about/news/postgresql-19-beta-1-released-3313/) PostgreSQL: PostgreSQL 19 Beta 1 Released!
[H2] Quick Links About Governance Policies Feature Matrix Donate History Sponsors Contributing Financial Servers Latest News Upcoming Events Past events Press Licence [H1] PostgreSQL 19 Beta 1 Released! Posted on 2026-06-04 by PostgreSQL Global Development Group PostgreSQL Project The PostgreSQL Global Development Group announces that the first beta release of PostgreSQL 19 is now available for download. This release contains PostgreSQL 19 feature previews ahead of general availability, though some details of the release can change during the beta period. You can find information about all of the PostgreSQL 19 features and changes in the release notes: https://www.postgresql.org/docs/19/release-19.html In the spirit of the open source PostgreSQL community, we strongly encourage you to test the new features of PostgreSQL 19 on your systems to help us eliminate bugs and other issues. While we do not advise you to run beta versions in production environments, we encourage you to find ways to run your typical application workloads against this beta release. Your testing and feedback help the community ensure that PostgreSQL 19 upholds our standards of delivering a stable, reliable release of the world's most advanced open source relational database. Please read more about our beta testing process and how you can contribute: https://www.postgresql.org/developer/beta/ [H2] PostgreSQL 19 Feature Highlights Below are some of the feature highlights that are planned for PostgreSQL 19. This list is not exhaustive; for the full list of planned features, please see the release notes. [H3] Performance PostgreSQL 19 builds on the asynchronous I/O subsystem introduced in PostgreSQL 18. In this release, io_method=worker now automatically scales the number of I/O workers based on the new io_min_workers and io_max_workers settings. This release also introduces the pg_plan_advice extension, which lets users stabilize and control planner decisions, along with pg_stash_advice to apply advice automatically using query identifiers. This release brings improvements to vacuum and maintenance operations. Autovacuum can now use parallel workers, which can be configured with the new autovacuum_max_parallel_workers setting, and a new autovacuum scoring system helps prioritize tables to vacuum. PostgreSQL 19 further enhances vacuum with a new strategy that can automatically reduce future vacuuming work by marking pages as visible while they're being queried. Additionally, this release adds the new REPACK command and its nonblocking CONCURRENTLY option, which allow tables to be rebuilt with less operational overhead. PostgreSQL 19 shows up to 2x better performance on inserts when foreign key checks are present. Additionally, this release improves several areas of the query planner and executor, including new anti-join optimizations, broader use of incremental sorts, eager aggregation that speeds up row processing, faster reads from storage during parallel sequential scans, and simplification of IS DISTINCT FROM and IS NOT DISTINCT FROM to plain <> and = operators when the inputs are not nullable. There are also improvements for LISTEN/NOTIFY scalability that impact multi-channel workloads. [H3] Developer Experience PostgreSQL 19 introduces support for SQL/PGQ, letting users execute property graph queries using SQL standard syntax. This release also expands temporal query capabilities with UPDATE and DELETE support for the FOR PORTION OF clause, complementing the temporal constraint support added in PostgreSQL 18. This release also adds ALTER TABLE ... MERGE PARTITIONS and ALTER TABLE ... SPLIT PARTITIONS to make it easier to reorganize partitioned tables in place. There is now also support for returning rows that conflict during an upsert operation using INSERT ... ON CONFLICT DO SELECT ... RETURNING. PostgreSQL 19 introduces the new GROUP BY ALL syntax, making it easy to add all non-aggregate and non-window output columns as part of the grouping. This release extends string processing capabilities in jsonpath with the addition of lower(), upper(), initcap(), replace(), split_part(), and the trim() family of functions. PostgreSQL 19 makes it easier to adopt "read-your-writes" query patterns when working with replicas using the new WAIT FOR LSN command. This lets a session wait until changes up to a specific log position (LSN) have been replayed on the replica before executing a SELECT query. PostgreSQL 19 also adds new SQL functions to retrieve the DDL statements needed to recreate roles, tablespaces, and databases, simplifying scripting and migration tasks. Additionally, the random() function now works with date and timestamp types, and PL/Python now supports event triggers. [H3] Security Features PostgreSQL 19 adds server-side support for Server Name Indication (SNI) through a new pg_hosts.conf file, allowing a single PostgreSQL server to present different TLS certificates based on the hostname requested by the client. There is also a new password_expiration_warning_threshold setting (defaulting to 7 days) to warn users in advance of upcoming password expirations. Further to the ongoing deprecation efforts of md5 authentication, this release issues a warning to the client after a successful md5 authentication. This is controllable via the new md5_password_warnings setting. [H3] Monitoring and Observability PostgreSQL 19 introduces the pg_stat_lock view, which reports per-lock-type statistics, and pg_stat_recovery which provides detailed visibility into the state of recovery operations. A stats_reset column is now available across many statistics views to show when counters were last cleared. The pg_stat_progress_vacuum and pg_stat_progress_analyze views now include a started_by column that reports the initiator of the operation, and pg_stat_progress_vacuum also has a mode column that reports how vacuum is operating. This release also allows log_min_messages levels to be specified per process type, giving operators finer control over what each part of the system logs. Additionally, WAL full page write byte counts are now reported in VACUUM and ANALYZE log output, helping identify maintenance operations that generate large amounts of WAL. Additionally, EXPLAIN ANALYZE now supports surfacing asynchronous I/O (AIO) statistics through its IO option, providing better visibility into how queries are using the AIO subsystem. [H3] Logical Replication and Query Federation In PostgreSQL 19, logical replication now replicates sequence values, simplifying tasks like online upgrades. Additionally, the new CREATE PUBLICATION ... EXCEPT syntax allows you to publish all tables in a database except for a specified set, while CREATE SUBSCRIPTION ... SERVER allows subscriptions to be defined using a foreign server, simplifying credential management. PostgreSQL 19 makes it possible to enable logical replication without restarting a server. Logical replication can now be enabled on demand even when wal_level is set to replica, and the new read-only effective_wal_level parameter reports the WAL level currently in effect. This reduces the need to commit upfront to a higher WAL level for clusters that may only occasionally need it, and avoids disrupting an active workload. The PostgreSQL foreign data wrapper, postgres_fdw, used for query federation, includes several performance improvements, including pushing down array operations to the remote server, and retrieving and using statistics from foreign tables to support better local query planning. [H3] Other Highlights The PostgreSQL 19 beta period includes a temporary "grease mode" to try to find protocol compatibility problems in the wider ecosystem. This wiki page contains information on how the campaign works: https://wiki.postgresql.org/wiki/Grease PostgreSQL 19 allows data checksums to be enabled or disabled online, without requiring a cluster restart or reinitialization. There are several notable changes to be aware of in PostgreSQL 19. Just-in-time compilation (JIT) is now disabled by default, and the default_toast_compression setting now defaults to lz4, providing better default compression and decompression performance. Support for RADIUS authentication is now removed. Additionally, the vacuumdb --analyze-only command by default analyzes partitioned tables. [H2] Additional Features Many other new features and improvements have been added to PostgreSQL 19. Many of these may also be helpful for your use cases. Please see the release notes for a complete list of new and changed features: https://www.postgresql.org/docs/19/release-19.html [H2] Testing for Bugs & Compatibility The stability of each PostgreSQL release greatly depends on you, the community, to test the upcoming version with your workloads and testing tools to find bugs and regressions before the general availability of PostgreSQL 19. As this is a Beta, minor changes to database behaviors, feature details, and APIs are still possible. Your feedback and testing will help determine the final tweaks on the new features, so please test in the near future. The quality of user testing helps determine when we can make a final release. A list of open issues is publicly available in the PostgreSQL wiki. You can report bugs using this form on the PostgreSQL website: https://www.postgresql.org/account/submitbug/ [H2] Beta Schedule This is the first beta release of version 19. The PostgreSQL Project will release additional betas as required for testing, followed by one or more release candidates, until the final release around September/October 2026. For further information please see the Beta Testing page. [H2] Links Download Beta Testing Information PostgreSQL 19 Beta Release Notes PostgreSQL 19 Open Issues Submit a Bug Donate
SUB-PAGE (https://postgresql.org/support/versioning/) PostgreSQL: Versioning Policy
[H2] Quick Links Support Versioning Policy Security Professional Services Hosting Solutions Report a Bug [H1] Versioning Policy The PostgreSQL Global Development Group releases a new major version containing new features about once a year. Each major version receives bug fixes and, if need be, security fixes that are released at least once every three months in what we call a "minor release." For more information on the minor release schedule, you can view the minor release roadmap. If the release team determines that a critical bug or security fix is too important to wait until the regularly scheduled minor release, it may make a release available outside of the minor release roadmap. The PostgreSQL Global Development Group supports a major version for 5 years after its initial release. After this, a final minor version will be released and the software will then be unsupported (end-of-life). [H2] Version Numbering Starting with PostgreSQL 10, a major version is indicated by increasing the first part of the version, e.g. 10 to 11. Before PostgreSQL 10, a major version was indicated by increasing either the first or second part of the version number, e.g. 9.5 to 9.6. Minor releases are numbered by increasing the last part of the version number. Beginning with PostgreSQL 10, this is the second part of the version number, e.g. 10.0 to 10.1; for older versions this is the third part of the version number, e.g. 9.5.3 to 9.5.4. [H2] Upgrading Major versions make complex changes, so the contents of the data directory cannot be maintained in a backward compatible way. A dump/reload of the database or use of the pg_upgrade application is required for major upgrades. We also recommend reading the upgrading section of the major version you are planning to upgrade to. You can upgrade from one major version to another without upgrading to intervening versions, but we recommend reading the release notes of all intervening major versions prior to doing so. Minor release upgrades do not require a dump and restore; you simply stop the database server, install the updated binaries, and restart the server. Such upgrades might require additional steps so always read the release notes first. Minor releases only contain fixes for frequently-encountered bugs, low-risk fixes, security issues, and data corruption problems. The community considers performing minor upgrades to be less risky than continuing to run an old minor version. We recommend that users always run the current minor release associated with their major version. [H2] Releases Version Current minor Supported First Release Final Release 18 18.4 Yes September 25, 2025 November 14, 2030 17 17.10 Yes September 26, 2024 November 8, 2029 16 16.14 Yes September 14, 2023 November 9, 2028 15 15.18 Yes October 13, 2022 November 11, 2027 14 14.23 Yes September 30, 2021 November 12, 2026 13 13.23 No September 24, 2020 November 13, 2025 12 12.22 No October 3, 2019 November 21, 2024 11 11.22 No October 18, 2018 November 9, 2023 10 10.23 No October 5, 2017 November 10, 2022 9.6 9.6.24 No September 29, 2016 November 11, 2021 9.5 9.5.25 No January 7, 2016 February 11, 2021 9.4 9.4.26 No December 18, 2014 February 13, 2020 9.3 9.3.25 No September 9, 2013 November 8, 2018 9.2 9.2.24 No September 10, 2012 November 9, 2017 9.1 9.1.24 No September 12, 2011 October 27, 2016 9.0 9.0.23 No September 20, 2010 October 8, 2015 8.4 8.4.22 No July 1, 2009 July 24, 2014 8.3 8.3.23 No February 4, 2008 February 7, 2013 8.2 8.2.23 No December 5, 2006 December 5, 2011 8.1 8.1.23 No November 8, 2005 November 8, 2010 8.0 8.0.26 No January 19, 2005 October 1, 2010 7.4 7.4.30 No November 17, 2003 October 1, 2010 7.3 7.3.21 No November 27, 2002 November 27, 2007 7.2 7.2.8 No February 4, 2002 February 4, 2007 7.1 7.1.3 No April 13, 2001 April 13, 2006 7.0 7.0.3 No May 8, 2000 May 8, 2005 6.5 6.5.3 No June 9, 1999 June 9, 2004 6.4 6.4.2 No October 30, 1998 October 30, 2003 6.3 6.3.2 No March 1, 1998 March 1, 2003
SUB-PAGE (https://postgresql.org/community/) PostgreSQL: Community
[H2] Quick Links Community Contributors Mailing Lists IRC Local User Groups Recognised NPOs Events International Sites [H1] Community PostgreSQL is well-supported by its active community. There are more than a dozen mailing lists available, categorized into topics like: Announcements PostgreSQL development General PostgreSQL Support Jobs and more. We also have many local PostgreSQL User Groups all over the world, and there is also an active IRC community. There are also links to international sites that contain PostgreSQL information in various languages. People in the PostgreSQL community also contribute to: Planet PostgreSQL, an aggregator of blogs covering many topics around PostgreSQL PostgreSQL Wiki, our wiki, hosting user generated content as well as information for how to contribute code to PostgreSQL [H2] Planet PostgreSQL Christophe Pettus: All Your GUCs in a Row: the debug_* family Richard Yen: PGDay Boston 2026 Richard Yen: PGDay Boston 2026 Christophe Pettus: All Your GUCs in a Row: deadlock_timeout Cornelia Biacsics: Contributions for week 22, 2026 Christoph Berg: PGConf.dev 2026 in Vancouver Christophe Pettus: All Your GUCs in a Row: DateStyle More [H2] External Resources pg-forum.de, a German PostgreSQL forum. Please send appropriate links to pgsql-www@lists.postgresql.org for possible inclusion on this page. Note that pgsql-www@lists.postgresql.org is a publicly archived mailing list.
SUB-PAGE (https://postgresql.org/about/) PostgreSQL: About
[H2] Quick Links About Governance Policies Feature Matrix Donate History Sponsors Contributing Financial Servers Latest News Upcoming Events Past events Press Licence [H1] About [IMG: PostgreSQL Elephant Logo] [H2] What is PostgreSQL? PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. The origins of PostgreSQL date back to 1986 as part of the POSTGRES project at the University of California at Berkeley and has nearly 40 years of active development on the core platform. PostgreSQL has earned a strong reputation for its proven architecture, reliability, data integrity, robust feature set, extensibility, and the dedication of the open source community behind the software to consistently deliver performant and innovative solutions. PostgreSQL runs on all major operating systems, has been ACID-compliant since 2001, and has powerful add-ons such as the popular PostGIS geospatial database extender. It is no surprise that PostgreSQL has become the open source relational database of choice for many people and organisations. Getting started with using PostgreSQL has never been easier - pick a project you want to build, and let PostgreSQL safely and robustly store your data. [H2] Why use PostgreSQL? PostgreSQL comes with many features aimed to help developers build applications, administrators to protect data integrity and build fault-tolerant environments, and help you manage your data no matter how big or small the dataset. In addition to being free and open source, PostgreSQL is highly extensible. For example, you can define your own data types, build out custom functions, even write code from different programming languages without recompiling your database! PostgreSQL tries to conform with the SQL standard where such conformance does not contradict traditional features or could lead to poor architectural decisions. Many of the features required by the SQL standard are supported, though sometimes with slightly differing syntax or function. Further moves towards conformance can be expected over time. As of the version 18 release in September 2025, PostgreSQL conforms to at least 170 of the 177 mandatory features for SQL:2023 Core conformance. As of this writing, no relational database meets full conformance with this standard. Below is an inexhaustive list of various features found in PostgreSQL, with more being added in every major release: Data Types Primitives: Integer, Numeric, String, Boolean Structured: Date/Time, Array, Range / Multirange, UUID Document: JSON/JSONB, XML, Key-value (Hstore) Geometry: Point, Line, Circle, Polygon Customizations: Composite, Custom Types Data Integrity UNIQUE, NOT NULL Primary Keys Foreign Keys Exclusion Constraints Explicit Locks, Advisory Locks Concurrency, Performance Indexing: B-tree, Multicolumn, Expressions, Partial Advanced Indexing: GiST, SP-Gist, KNN Gist, GIN, BRIN, Covering indexes, Bloom filters Sophisticated query planner / optimizer, index-only scans, multicolumn statistics Transactions, Nested Transactions (via savepoints) Multi-Version concurrency Control (MVCC) Parallelization of read queries and building B-tree indexes Table partitioning All transaction isolation levels defined in the SQL standard, including Serializable Just-in-time (JIT) compilation of expressions Asynchronous I/O (AIO) Reliability, Disaster Recovery Write-ahead Logging (WAL) Replication: Asynchronous, Synchronous, Logical Point-in-time-recovery (PITR), active standbys Tablespaces Security Authentication: GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0, and more Robust access-control system Column and row-level security Multi-factor authentication with certificates and an additional method Extensibility Stored functions and procedures Procedural Languages: PL/pgSQL, Perl, Python, and Tcl. There are other languages available through extensions, e.g. Java, JavaScript (V8), R, Lua, and Rust SQL/JSON constructors, query functions, path expressions, and JSON_TABLE Foreign data wrappers: connect to other databases or streams with a standard SQL interface Customizable storage interface for tables Many extensions that provide additional functionality, including PostGIS Internationalisation, Text Search Support for international character sets, e.g. through ICU collations Case-insensitive and accent-insensitive collations Full-text search There are many more features that you can discover in the PostgreSQL documentation. Additionally, PostgreSQL is highly extensible: many features, such as indexes, have defined APIs so that you can build out with PostgreSQL to solve your challenges. PostgreSQL has been proven to be highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL clusters in production environments that manage many terabytes of data, and specialized systems that manage petabytes. [H2] Any questions? The first place to go to for any questions on PostgreSQL is its world-renowned documentation, which discusses how to use PostgreSQL in-depth. We also have many mailing lists where you can connect and participate in the community. There are also many events and local user groups where you can connect with other PostgreSQL users. [H2] Our users us [Our customers] expect both high performance and high availability from our software, central part of which is the SQL database engine. And we have found that the PostgreSQL is really up to the task. Maksym Sobolyev, SippySoft Inc. Quorum commit for synchronous replication in PostgreSQL 10 gives more options to extend our ability to promote database infrastructure with nearly zero downtime from the application perspective. This allows us to continuously deploy and update our database infrastructure without incurring long maintenance windows. Curt Micol, Simple Finance Under loads heavy and light, with virtually no administration overhead, PostgreSQL chugs along and "just works". Benjamin Smith, CTO, Charterworks We use PostgreSQL on all LeapServs to track information ranging from a couple hundred thousand rows to 20+ million. Lindsay Snider, Founding Partner, BitLeap LLC We keep up with the latest development of PostgreSQL since 2010 ... and every new release brings us more performance and usability improvements that we take advantage of practically from day one. Valentine Gogichashvili, Zalando Technologies [H2] What's a database project without statistics? [H3] 35+ Years Development [H3] 725+ Contributors [H3] 61,000+ Commits [H3] 70+ Local User Groups [H3] 1,780,000+ Lines of C [H3] 720+ Events [H3] Millions of Happy Users [H3] ∞ Data Stored
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 2 | 0 |
| /download/ | 2 | 0 |
| /about/news/postgresql-19-beta-1-released-3313/ | 2 | 0 |
| /support/versioning/ | 0 | 0 |
| /community/ | 0 | 0 |
| /about/ | 6 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
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.
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.
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.
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.
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.
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.
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.
Based on 830 businesses audited.
Software, SaaS & Tech Products BS: PostgreSQL Global Development Group (postgresql.org)
PostgreSQL is the gold standard for low-BS technical communication. It ignores modern marketing trends in favor of overwhelming technical specificity and historical evidence. It is a site built by engineers for engineers, where substance is the only signal.
Implement Organization and SoftwareApplication JSON-LD schema to provide a machine-readable identity. Add Person schema for high-profile contributors and testimonial authors to bridge the authority gap. Link testimonials to third-party verification platforms like G2 or StackShare to clear the trust theatre flags. Ensure all named features in the Feature Matrix link directly to their respective documentation sections.
The site is an absolute match for the Software & Tech category. The content is exclusively focused on relational database management system (RDBMS) development, versioning, and community governance.
“The score of 14 is exceptionally low, driven almost entirely by the lack of structured data (Schema.org) and technical trust flags (review verification links). The content itself contains 0 points of fluff or drift, making this one of the most transparent sites in the industry.”
This training module utilizes a snapshot of public data from PostgreSQL Global Development Group, captured on June 11, 2026, to demonstrate how machine logic evaluates different types of business narratives.
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to compare human intuition against machine-generated evaluations.
Notice to PostgreSQL Global Development Group: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results provided by 1EuroSEO are intended as professional feedback to help improve any website’s machine-readability and authority signals. The 1EuroSEO BS Detection Tool is a free tool, and anyone can test any company to see how their content is interpreted by AI models.
Any company can use the insights for free and improve its voice by comparing it to industry clichés or competitors. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://postgresql.org to view the most current version of its content and learn from the source what this company is about and what it offers.