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PostgreSQL: History, Applications & Standards

PostgreSQL (/ˈpoʊstɡrɛskjuˌɛl/ ⓘ POHST-gres-kew-EL), also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance. PostgreSQL features transactions with atomicity, consistency, isolation, durability (ACID) properties, automatically updatable views, materialized views…

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PostgreSQL topic overview

The analysis highlights History, Applications and Standards as prominent areas in the source structure around PostgreSQL.

Related topics
251
Source areas
12
Connected nodes
264
Extracted relationships
288
Concept neighborhoods
43
Bridge connections
264

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Storage and replication · 45 topics
Control and connectivity · 42 topics
Notable users · 37 topics
Overview · 34 topics
Platforms · 23 topics
Database administration · 18 topics
Security · 14 topics
Service implementations · 14 topics
Benchmarks and performance · 9 topics
History · 8 topics
Multiversion concurrency control (MVCC) · 5 topics
Ecosystem and Derivatives · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
PostgreSQL Global Development Group
License
PostgreSQL License (free and open-source, permissive)
Other names
Postgres
Preview release
19 beta 3 / 13 August 2026; 10 days ago (13 August 2026)
Release
8 July 1996; 30 years ago (1996-07-08)
Repository
git.postgresql.org/gitweb/?p=postgresql.git

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Multiversion concurrency control (MVCC)

Storage and replication

Control and connectivity

Security

Benchmarks and performance

Platforms

Database administration

Notable users

Service implementations

Ecosystem and Derivatives

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How PostgreSQL connects Entity context

The extracted context around PostgreSQL shows recurring relationship patterns in the source. For example, PostgreSQL → Afilias, Amazon Redshift, API, Aster Data Systems's, Atmospheric Administration's, AWS, BASF, Because WhitePages, ChatGPT, Disqus, FlightAware, Geni, Grofers, IFPS, In, Instagram, Interactive Forecast Preparation System, Mail, Met Office, Microsoft Another extracted example is PostgreSQL → Alibaba Cloud, AlloyDB, AlloyDB Omni, Amazon Aurora, Amazon Web Services, ApsaraDB, Availability, Azure Databases, DBaaS, End, EnterpriseDB, EOA, Google Cloud Platform, Heroku, IBM Cloud, IBM Cloud Hyper Protect, In April, In December, In January, In June. Use these groups to spot repeated connection types before inspecting the individual relationships.

PostgreSQL

Top relations

related to Notable users · 54
PostgreSQL → Afilias, Amazon Redshift, API, Aster Data Systems's, Atmospheric Administration's, AWS, BASF, Because WhitePages, ChatGPT, Disqus, FlightAware, Geni, Grofers, IFPS, In, Instagram, Interactive Forecast Preparation System, Mail, Met Office, Microsoft
related to Service implementations · 39
PostgreSQL → Alibaba Cloud, AlloyDB, AlloyDB Omni, Amazon Aurora, Amazon Web Services, ApsaraDB, Availability, Azure Databases, DBaaS, End, EnterpriseDB, EOA, Google Cloud Platform, Heroku, IBM Cloud, IBM Cloud Hyper Protect, In April, In December, In January, In June
related to Platforms · 20
PostgreSQL → Architecture, ARM, ARMv6, DragonFlyBSD, FreeBSD, It, Linux, MIPS, NetBSD, OpenBSD, PA-RISC, Power ISA, PowerPC, Raspberry Pi, RISC-V, S/390, Solaris, SPARC, Windows, Windows Server
related to Indexes · 18
PostgreSQL → B-tree, Block Range Indexes, BRIN, CREATE INDEX, Expression, GIN, GiST, In, Index-only, Indexes, KNN-GiST, NN, Partial, SP-GiST, Space-Partitioned GiST, The, This, WHERE
related to Benchmarks and performance · 16
PostgreSQL → GlassFish, Itanium-based HP-UX, JOPS, June, Many, Oracle, Performance, Platform Edition, Server, Simple, SPECjAppServer2004 JOPS, Standard, Sun Java System Application, The, This, UltraSPARC T1-based Sun Fire
related to Data types · 15
PostgreSQL → BinaryDate/time, BooleanArbitrary-precision, BSON, CIDR, GB, Inter-Domain Routing, IPv6, JavaScript Object Notation, JSON, JSONB, MAC, MoneyEnumBit, PostgreSQLArrays, UUID, XPath
related to Ingres and University POSTGRES (1982–1994) · 12
PostgreSQL → Berkeley, California, He, In, In POSTGRES, Ingres, Michael Stonebraker, POSTGRES, The, These, Turing Award, University
related to Asynchronous notifications · 10
PostgreSQL → JDBC, LISTEN, Many, Notifications, NOTIFY, Npgsql, Other, Such, This, UNLISTEN
related to Multiversion concurrency control (MVCC) · 10
PostgreSQL → ACID, Because PostgreSQL, MVCC, Read Committed, Read Uncommitted, Repeatable Read, Serializable, SSI, The PostgreSQL MVCC, This
related to PostgreSQL (1996–present) · 10
PostgreSQL → Code, Group, In, January, October, PostgreSQL License, Since, SQL, The, The PostgreSQL Global Development

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

database data system also support sql postgres used version using types table triggers features replication service server including languages use

PostgreSQL relationships Subject–Predicate–Object triples

TTTA extracted 288 structured relationships around PostgreSQL. Examples in this analysis include PostgreSQL → Developer → PostgreSQL Global Development Group and PostgreSQL → License → PostgreSQL License (free and open-source, permissive). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
PostgreSQLDeveloperPostgreSQL Global Development Group1.00infobox
PostgreSQLLicensePostgreSQL License (free and open-source, permissive)1.00infobox
PostgreSQLOther namesPostgres1.00infobox
PostgreSQLPreview release19 beta 3 / 13 August 2026; 10 days ago (13 August 2026)1.00infobox
PostgreSQLRelease8 July 1996; 30 years ago (1996-07-08)1.00infobox
PostgreSQLRepositorygit.postgresql.org/gitweb/?p=postgresql.git1.00infobox
PostgreSQLStable release18.6 / 13 August 20261.00infobox
PostgreSQLTypeRDBMS1.00infobox
PostgreSQLWebsitewww.postgresql.org1.00infobox
PostgreSQLWritten inC (and C++ for the LLVM dependency)1.00infobox
repmgr make managing replication clusters easier.Several asynchronous trigger-based replication packages are availableinstance ofis an asynchronous multi-master replication system for PostgreSQL.Tools0.80text
those arranged in a star schemainstance ofuseful for data warehouse applications for joining a large fact table to smaller dimension tables0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around PostgreSQL bring nearby vocabulary together. In this analysis, examples include Support, Data and Server. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • PostgreSQL
    • Support
    • Data
    • Server
    • Replication
    • System
    • Including
    • Service
    • Version
    • Sql
    • Provides
    • Announced
    • Using
  • postgresql
    • Support
    • Data
    • Server
    • Replication
    • System
    • Including
    • Service
    • Version
    • Sql
    • Provides
    • Announced
    • Using
  • free and open-source
    • Software
    • Development
    • Code
    • Project
    • Features
    • Postgres
    • Database
    • Rules
    • Available
    • Performance
    • Systems
    • Postgresql
  • relational database management system
    • Postgresql
    • Data
    • Use
    • Version
    • Languages
    • Server
    • Postgres
    • Open-source
    • Allows
    • System
    • Tables
    • Features
  • data warehouses
    • Types
    • Tables
    • Database
    • Using
    • Queries
    • Including
    • Postgresql
    • Table
    • Range
    • Systems
    • System
    • Multiple
  • data lakes
    • Types
    • Tables
    • Database
    • Using
    • Queries
    • Including
    • Postgresql
    • Table
    • Range
    • Systems
    • System
    • Multiple
  • database engine
    • Postgresql
    • Data
    • Use
    • Languages
    • Postgres
    • Open-source
    • Allows
    • System
    • Tables
    • Features
    • Server
    • Service
  • data types
    • Types
    • Used
    • Tables
    • Database
    • Using
    • Queries
    • Including
    • Postgresql
    • Table
    • Created
    • Range
    • Systems

Connections between topic areas Semantic bridges

For PostgreSQL, one of the stronger structural bridges in this analysis connects PostgreSQL with Storage and replication. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
PostgreSQL — Storage and replication · splits 219 ⟂ 46
PostgreSQL — Control and connectivity · splits 222 ⟂ 43
PostgreSQL — Notable users · splits 227 ⟂ 38
PostgreSQL — Overview · splits 230 ⟂ 35
PostgreSQL — Platforms · splits 241 ⟂ 24
PostgreSQL — Database administration · splits 246 ⟂ 19
PostgreSQL — Service implementations · splits 249 ⟂ 16
PostgreSQL — Security · splits 250 ⟂ 15
PostgreSQL — Benchmarks and performance · splits 255 ⟂ 10
PostgreSQL — History · splits 256 ⟂ 9
PostgreSQL — Multiversion concurrency control (MVCC) · splits 259 ⟂ 6
PostgreSQL — Ecosystem and Derivatives · splits 262 ⟂ 3

Map overview Semantic statistics

PostgreSQL

Nodes265
Edges264
Triples288
Avg. degree1.99
Density0.007547
Components1

Source & methodology

TTTA analyzes the structure around PostgreSQL to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — PostgreSQL · EN edition · Analysis: TopicsToTalkAbout

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