PostgreSQL
NewThe world's most advanced open source database
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- PostgreSQL ranks #3 of 30 in Vector Databases with an AI visibility score of 49 (SlateIndex, Nov 2, 2026).
- PostgreSQL is most visible on Perplexity (59.8) and least on Google AI Mode (42.8).
- AI engines name PostgreSQL in 41 of the 90 Vector Databases buyer prompts SlateIndex tracks.
- github.com is the source AI engines cite most in answers about PostgreSQL, with 26 citations.
About
Company details for PostgreSQL
PostgreSQL is an open source object-relational database system that uses and extends the SQL language. It has been in active development for nearly 40 years, runs on all major operating systems, and has been ACID-compliant since 2001. Add-ons such as the PostGIS geospatial extender extend its functionality. It ranks #3 of 30 in Vector Databases on SlateIndex and has a visibility score of 49 in the latest weekly run.
Its differentiator: highly extensible: users can define their own data types and functions, and add features through extensions such as PostGIS.
- Website
- postgresql.org
- Categories
- Vector Databases, Data Warehouse, AI Agents
- Company size
- 51–200 employees
- Headquarters
- United States
- Company type
- Nonprofit
- Platforms
- Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), Windows
- Support
- Community mailing lists, Community events and local user groups
Read from linkedin.com, postgresql.org · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in Vector Databases. Pinecone leads the category at 71.8%.
Media
Website and product screenshots for PostgreSQL
AI mentions & citations
Recent answers that name PostgreSQL
How do I choose a vector database for a mid-market team?
My default recommendation: Start with pgvector if PostgreSQL is already part of your architecture.
How do companies store and search embeddings without a dedicated tool?
Use an existing relational database (PostgreSQL)
What should a vector database integrate with?
Examples: PostgreSQL, MongoDB, MySQL, Amazon S3.
Best vector database for startups
My recommendation: Start with pgvector if you're already using PostgreSQL.
What should a vector database integrate with?
Traditional Databases & Data Warehouses : Relational and analytical stores like PostgreSQL, Snowflake, BigQuery, or MongoDB.
Most affordable vector database that is still reliable
When balancing cost and reliability for a vector database, the consensus points to open-source extensions running on existing infrastructure or developer-friendly managed free/low-tier…
Which vector database has transparent pricing?
Self-hosted PostgreSQL with the pgvector extension offers the most transparent and predictable pricing because you pay only for underlying cloud hardware or server costs with no monthly minimums, hidden compute credits,…
What is a vector database and when does a company need one?
For a small proof of concept, an existing PostgreSQL-style database with a vector extension, an in-process library, or even an in-memory array may be sufficient.
Products & features
What PostgreSQL sells
PostgreSQL
Open source object-relational database system that uses and extends SQL, with features for data integrity, replication, security and extensibility.
Strengths engines cite
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
- Broad deployment and transparent self-hosted pricing
Funding & recent developments
Funding
| Latest known round | Total raised |
|---|---|
| — | — |
Recent developments
- Oct 2026ProductPostgreSQL 19 release candidate 1 released
The PostgreSQL Global Development Group released PostgreSQL 19 RC 1 for testing ahead of general availability.
- Oct 2026ProductPostgreSQL 19 general availability planned for November 19
PostgreSQL 19 general availability was planned for November 19, 2026, after a delay attributed to a surge in LLM-driven bug reports.
- Aug 2026SecurityPostgreSQL 18.6 and other supported branches released
Maintenance releases for PostgreSQL 18, 17, 16, 15 and 14 were published. The PostgreSQL 18 patch release addressed 28 CVEs.
- Feb 2026ProductOut-of-cycle release fixes regressions
An out-of-cycle release on February 26, 2026 fixed regressions introduced in the February 12 update.
Competitive landscape
How PostgreSQL compares with its top three alternatives
PostgreSQL most often appears alongside Pinecone, Qdrant, Weaviate in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| PostgreSQL | 49% | 12.6% | New | Pricing not available |
| Pinecone | 71.8% | 14% | New | Free plan |
| Qdrant | 60.5% | 13.4% | New | Free plan |
| Weaviate | 45.2% | 11.7% | New | Free plan |
| Chroma | 18.6% | 6.8% | New | Free plan |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 35% · Neutral 57% · Mixed 8% of 75 engine answers that mention PostgreSQL
Praised for
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
- Broad deployment and transparent self-hosted pricing
Criticised for
- Hosting, backups, and maintenance must be paid for when self-hosted
Cite as: SlateIndex, “PostgreSQL AI visibility profile”, https://slateindex.ai/brand/postgresql, data of Nov 2, 2026. Licence: CC BY 4.0.