EDB Postgres AI

EDB Postgres AI is EnterpriseDB's platform for running transactional, analytical and agentic AI workloads on a single PostgreSQL foundation the enterprise controls. It targets regulated organisations that want vector search, in-database inference and petabyte-scale analytics without shipping sensitive data into a cloud-managed lakehouse or a proprietary vector store.

EDB Postgres AI is EnterpriseDB's attempt to make one PostgreSQL foundation serve transactional, analytical and AI workloads without moving data between them. The pitch is sovereignty: enterprises in government, defence, financial services and healthcare get agentic AI where their data already lives, rather than shipping it into a cloud-managed lakehouse. The platform is organised around Hybrid Manager, a single control plane that automates and governs Postgres estates across on-premises bare metal, Kubernetes, air-gapped networks, certified Dell, IBM, Supermicro and NVIDIA GPU-ready appliances, and all three major clouds, with managed service across 100-plus regions. Inside it sits AI Factory: in-database inference, vector search and Model Context Protocol endpoints so agents and models run next to the data without extra round trips. The Q1 2026 release, generally available on 31 March 2026, added VectorChord alongside pgvector for billion-scale vector workloads, a PGAA extension using NVIDIA RAPIDS for Spark, Agent Studio built on Langflow for drag-and-drop agent development, an EDB MCP Server, a native natural-language chatbot for database management, autonomous storage scaling with user-defined guardrails, and three-location deployments targeting 99.999% uptime. Analytics is deliberately open rather than proprietary: Apache Iceberg acts as the shared catalog while ClickHouse handles real-time queries, WarehousePG covers petabyte-scale warehousing and an Analytics Accelerator serves lakehouse workloads, so operational data stays in Postgres, history sits in object storage, and no ETL pipeline is required between them. EDB says more than 1,700 organisations work with it.

Category

Data & Analytics

Pricing

Subscription, Contact for pricing

Target Market

CIOs, CTOs, Data Engineers, Database Administrators, Enterprise Architects

Deployment

Hybrid, Self-hosted, Multi-cloud, Edge-first

Customers

1,700+ organisations

• ✓
  Hybrid Manager control plane

  Automates and governs Postgres across on-premises, Kubernetes, air-gapped, appliance and multi-cloud estates from one console, with EDB claiming roughly 30% productivity improvement.

• ✓
  AI Factory with in-database inference

  Runs vector search, model serving and Model Context Protocol endpoints alongside the data, so agents avoid network round trips to an external inference service.

• ✓
  Agent Studio on Langflow

  Drag-and-drop agent development integrated with EDB MCP Server, database and embedding components, plus multi-step AI pipelines with PDF parsing for document ingestion.

• ✓
  VectorChord plus pgvector

  A high-performance companion index to pgvector that EDB reports delivers up to 100x faster indexing on billion-scale vector workloads inside the same Postgres instance.

• ✓
  Converged analytics on Apache Iceberg

  Iceberg acts as the shared catalog linking ClickHouse, WarehousePG and Spark compute, so operational and historical data are queried without a separate ETL copy.

• ✓
  WarehousePG petabyte-scale warehousing

  Open warehousing with a new Enterprise Manager UI, supporting binary-swap migration of existing Greenplum workloads and 99.999% availability targets.

• •
  Sovereign RAG over regulated data

  Build retrieval-augmented applications where embeddings, source records and inference all stay inside the enterprise's own Postgres estate and jurisdiction.

• •
  Oracle-to-Postgres modernisation

  Migrate legacy Oracle workloads using PL/SQL compatibility and agentic migration tooling, cutting licence cost while adding vector and analytics capability.

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  Zero-ETL operational analytics

  Query live transactional data alongside historical Iceberg tables so dashboards reflect current state without a nightly pipeline that breaks silently.

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  Greenplum and Teradata warehouse replacement

  Move petabyte-scale analytics onto open Postgres infrastructure, with EDB claiming up to 58% lower total cost of ownership versus cloud warehouses.

• •
  Governed multi-cloud Postgres fleet

  Give platform teams one control plane for provisioning, observability, failover and compliance policy across hundreds of scattered Postgres instances.

EDB publishes a six-tier plan ladder — Open Source Support, Enterprise Postgres, Enterprise Postgres Plus, Analytics, Distributed High Availability and the full Platform — but no price for any of them; the comparison page lists features only and every number comes from a sales quote. Support is sold in three grades: Basic at 10x5 for development and test, Production at 24x7, and Premium at 24x7 with an aggressive SLO. The managed cloud service is metered per provisioned vCPU, and an HFS Research analyst has noted that EDB's per-core model gives more predictable costs than consumption-based lakehouse pricing, which is a large part of the commercial pitch. There is no free tier and no advertised free trial. Independent PeerSpot reviewers of the underlying Advanced Server nonetheless call it somewhat expensive for smaller organisations and flag enterprise licensing complexity at large data volumes, and an Info-Tech analyst warns the hardware required for high-speed operational processing is itself relatively expensive.

This page was written from 6 sources, 2 on domains other than enterprisedb.com.

1. 1.enterprisedb.com — edb postgres aivendor
2. 2.enterprisedb.com — edb postgres ai q1 2026 release highlightsvendor
3. 3.enterprisedb.com — plans comparisonvendor
4. 4.enterprisedb.com — aboutvendor
5. 5.infoworld.com — edb converges analytics on postgres to support ai agents
6. 6.peerspot.com — edb postgres advanced server reviews