# AI agents boost PostgreSQL's 40-year relevance

> AI coding agents are driving a surge in PostgreSQL use for 40-year-old database systems.
- Title: AI agents boost PostgreSQL's 40-year relevance · SiliconANGLE
- Summary: AI coding agents are driving a surge in PostgreSQL use for 40-year-old database systems. AI agents are creating new demand for PostgreSQL as the default…
- Keywords: postgresql, ai agents, database management, pgedge, developer survey, open-source, vector extensions, ai dba workbench, technology, enterprise, agents, boost
- Source: SiliconANGLE — https://siliconangle.com/2026/10/15/how-agents-are-stoking-new-interest-in-a-40-year-old-database
- Author: Paul Gillin
- Published: 2026-10-15T21:25:41+00:00
- Read time: 1 min
- Topics: postgresql, ai agents, database management, pgedge, developer survey, open-source, vector extensions, ai dba workbench, technology, enterprise
## PostgreSQL leads developer preferences
Stack Overflow's Developer Survey shows PostgreSQL tops database management systems for the fourth year straight, with favorability ratings increasing from last year.

> For the fourth straight year, Stack Overflow’s Developer Survey has found that PostgreSQL tops the list of the database management systems developers prefer, and the favorability ratings even ticked up from last year.
## AI agents drive PostgreSQL demand
pgEdge co-founder Phillip Merrick says artificial intelligence coding agents are making PostgreSQL the default database for agent-generated applications, with demand skyrocketing.

> It’s the default database for agent-generated applications,” he said in an interview. “Demand has skyrocketed.”
## AI agents dominate enterprise databases
Databricks Inc. reports that AI agents now spin up 80% of enterprise databases, creating new demands for database management solutions.

> According to Databricks Inc. PostgreSQL provides a common foundation for building applications, retrieving information for language models and helping administrators manage the resulting database sprawl.
## PostgreSQL's extensible architecture
PostgreSQL's extensible architecture allows developers to add AI capabilities without switching to a separate database engine, reducing complexity.

> A key appeal of PostgreSQL is its extensible architecture, which lets developers add AI capabilities without adopting an entirely separate database engine.
## pgvector extension for AI
The pgvector extension stores vectors alongside data for similarity searches, key features in retrieval-augmented generation applications.

> For example, the pgvector extension allows vectors to be stored alongside other data and used to search for similar items, key capabilities in retrieval-augmented generation.
## AI DBA Workbench for troubleshooting
pgEdge's AI DBA Workbench monitors databases, identifies issues, and generates SQL fixes with human administrator approval.

> PgEdge’s AI DBA Workbench monitors databases, identifies issues and generates sql to address them with the approval of human administrators.
## SafeSession technology for security
pgEdge's SafeSession enforces read-only access at the PostgreSQL engine level, ensuring secure database operations.

> PgEdge’s SafeSession technology enforces read-only access at the PostgreSQL engine level.
## Starfleet platform for deployment
pgEdge's Starfleet platform enables customers to build prototypes in the cloud and deploy using PostgreSQL in managed, customer-controlled, or on-premises environments.

> Customers can build prototypes with StarFleet in pgEdge’s cloud and deploy using the same PostgreSQL distribution in managed cloud, customer-controlled cloud or on-premises environments, according to the company.
## Key takeaway

AI agents are creating new demand for PostgreSQL as the default database for agent-generated applications.