EDB Postgres AI
by EnterpriseDB (EDB)
A sovereign Postgres data-and-AI platform that unifies relational, analytical, vector, and agentic workloads.
EDB Postgres AI (EDB PG AI) is a sovereign data-and-AI platform built on open-source PostgreSQL that unifies transactional, analytical, vector, and agentic workloads through a single SQL interface. It is aimed at CIOs, CTOs, and data leaders who need AI-ready infrastructure without moving data into a separate cloud or vector store.
At a Glance
- Category
- Data & Analytics
- Pricing
- Subscription, Contact for pricing
- Target Market
- CIOs, CTOs, Data Engineers, Database Administrators, Enterprise Architects
- Founded
- 2004
- Headquarters
- Wilmington, Delaware, USA
Key Features
- ✓Agentic database
A self-optimizing system that monitors 200+ metrics and automates tuning, with EDB citing up to 10x faster tuning and up to 8x faster application performance.
- ✓Converged analytics
A zero-ETL architecture that publishes operational data to Apache Iceberg and adds ClickHouse and WarehousePG for real-time to petabyte-scale analytics.
- ✓Native vector search
A unified query layer over vector, structured, and unstructured data so agents retrieve context they are authorized to access without a separate vector store.
- ✓Governance at the data layer
Row-level and role-based access enforced in the moment of action, giving every agent a declared owner and boundary (in preview, GA expected H2 2026).
- ✓Sovereign, open-source Postgres foundation
Built on open-source PostgreSQL and deployable on-premises, hybrid, or across multiple clouds to preserve data sovereignty.
Capabilities
Use Cases
- •Unify AI and operational data
Serve relational, JSON, time-series, geospatial, and vector data through a single SQL interface for AI applications.
- •Reduce database sprawl
Consolidate transactional, analytical, and vector workloads onto one governed Postgres platform instead of many specialized stores.
- •Ground enterprise AI agents
Give agents accurate, authorized retrieval on live data with governance enforced at the row level.
Ideal For
Best For
- ✓Running relational, analytical, vector, and agentic workloads on one Postgres foundation
- ✓Sovereign and on-premises AI where data cannot leave the enterprise
- ✓Giving AI agents governed, authorized retrieval without a separate vector database
Integrations
Deployment
Market Analysis
Pros
- ✓Built on open-source PostgreSQL for portability and sovereignty
- ✓Removes the need for a separate vector store
- ✓Strong hardware and platform partner ecosystem
Cons
- ✗Governance-at-the-data-layer is still in preview (GA expected H2 2026)
- ✗Performance multiples (10x/8x) are vendor-reported
Pricing
EDB Postgres AI
Contact for pricing
- ✓Predictable per-core pricing
- ✓On-premises, hybrid, and bring-your-own-cloud (BYOC) options
- ✓EDB Developer Cloud
EDB references predictable per-core pricing and offers bring-your-own-cloud (BYOC) and an EDB Developer Cloud; detailed list pricing is not published in the announcement.
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