EnterpriseDB offers the EDB Postgres AI platform, a PostgreSQL‑based system that consolidates transactional, analytical, and generative AI workloads on a single data store while keeping data on the customer’s chosen infrastructure. The platform provides configurable AI accelerators, hybrid management tools, and analytics acceleration to simplify deployment, reduce operational overhead, and maintain data sovereignty for large enterprises and government agencies.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises need to run transactional, analytical, and AI workloads on data that must remain under their control, often across hybrid cloud and on‑premises environments. Existing solutions require separate systems, expose data to public AI services, or lack unified management, leading to high costs, complexity, and limited data sovereignty.
Solution
EnterpriseDB’s EDB Postgres AI platform provides a single PostgreSQL‑based foundation that unifies transactional, analytics, and agentic AI workloads while keeping data on the customer’s chosen infrastructure. The configurable platform lets organizations tailor database, AI accelerator, and analytics components to their cloud strategy—whether on‑prem, private cloud, or hybrid multi‑cloud. Built‑in hybrid management tools automate deployment, observability, and lifecycle operations, reducing operational overhead. Integrated AI factories enable developers to launch GenAI applications with minimal code, keeping models and inference close to the data for full sovereignty. The solution also includes native analytics acceleration and support for Greenplum, delivering fast insights without moving data to separate warehouses.
Target Audience
Primary customers are large enterprises and government agencies that require high‑performance, sovereign data platforms for mission‑critical applications, including financial services, media, and technology firms.
Features
- Unified PostgreSQL engine that supports transactional, analytical, and AI workloads in a single data store
- Configurable AI accelerator for low‑code/no‑code GenAI pipelines, enabling model inference directly on operational data
- Hybrid Management layer with cloud‑native automation, unified observability, and multi‑region deployment support
- AI Factory tooling that allows GenAI application development with as few as five lines of SQL, reducing time‑to‑production by up to 3×
- Analytics Accelerator delivering up to 30× faster insight generation and eliminating ETL pipelines
- Built‑in high‑availability and disaster‑recovery features (PGD, replication, backup) for five‑nine uptime
- Security and compliance controls including data encryption, access policies, and support for air‑gapped environments