EnterpriseDB unveils Postgres AI to boost data sovereignty in EU

EnterpriseDB has released new capabilities for its Postgres AI platform, aiming to enable enterprises to deploy and scale AI across both cloud and on-premise Postgres environments in Europe and beyond.

The announcement comes at a time when European AI development is facing pressure to accelerate in response to global competition, with recent comments from political leaders and industry experts stressing the importance of regional technological advancement. EnterpriseDB's innovations seek to address this challenge by introducing a platform designed to centralise hybrid management, enhance observability, and meet requirements for data sovereignty - an essential consideration as enterprises adopt AI technologies.

Unified platform approach

The EDB Postgres AI platform is presented as a unified system that integrates transactional, analytical, and AI workloads. It enables enterprises to manage these diverse functions through a single interface, supporting both structured and unstructured data types. The platform includes automatic data pipelines and in-built development tools intended to support the operationalisation of data for AI applications.

Kevin Dallas, Chief Executive Officer at EnterpriseDB, said, "In this AI-first, sovereign-first world, C-suite executives in every geo point to a single, urgent need: a secure, open source, sovereign data and AI platform that gives them full control over how and where they build their AI future. True data and AI sovereignty means we are giving enterprises the freedom to choose - hybrid, with unique engineered systems, software, and cloud offerings - while also ensuring that they have the security and control they need."

According to company research conducted in May 2025, only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale. These early adopters have reportedly achieved up to 227% higher returns on investment than non-adopters, and 23% better ROI than the next-best group.

Simplicity and speed for developers

One core feature is the claimed ability for developers and business users to establish an AI pipeline with just five lines of code. This pipeline automatically synchronises embeddings with source data, aiming to reduce the time taken to progress from AI concept to production by a factor of three and halving associated costs. The platform includes a 'point-and-click' interface and a low-code software development kit, aiming to make application development accessible to a broader range of users.

The platform's integration with NVIDIA's accelerated computing infrastructure and NIM microservices is designed to allow enterprises to run AI models locally and keep their data within regional boundaries, supporting compliance requirements. It also incorporates NVIDIA NeMo Retriever for processing multimodal enterprise data, enabling AI model extension via a catalogue of microservices.

Hybrid management and observability

EDB's platform introduces hybrid management designed to give operators visibility over their entire Postgres landscape, including real-time insights across hundreds of databases. With more than 200 built-in metrics and features for automated recommendations, the platform claims to enable teams to identify and resolve issues five times faster and improve application performance by up to eight times, all without requiring database administration expertise.

"The EDB Postgres AI engineered solution leverages several of Supermicro's strengths, including our portfolio of data centre building block systems, experience in developing and delivering rack-scale AI solutions, and our experience in supporting OEM customers like EnterpriseDB. This unified solution offers full hybrid capabilities and helps customers build sovereign, scalable, and compliant data and AI systems, giving enterprises the control and near-instant access to data needed for Gen AI." — Cenly Chen, Chief Growth Officer, Senior Vice President, and Managing Director, Supermicro B.V.

Data security and performance

The platform incorporates multiple security features, such as Transparent Data Encryption, supply chain security, and role-based access controls with fine-grained permissions. Robust audit logging and data redaction are designed to support compliance with regulations such as PCI DSS and SOC 2.

A newly introduced analytics engine, optimised for formats like Iceberg and Delta tables, allows enterprises to generate insights significantly faster than standard Postgres, supporting operational data analytics and breaking down data silos. The engine allows for intelligent tiering, offering up to 18 times cost efficiency for cold transactional data storage.

In benchmarking tests, the platform has demonstrated six times better total cost of ownership (TCO) and 30% faster transactional performance compared to SQL Server, along with up to 150 times faster NoSQL performance relative to MongoDB and up to four times faster than MySQL.

"McKnight Consulting Group compared the integrated EDB Postgres AI platform against a usual DIY approach using AWS. Across all the eight critical components of an enterprise AI factory, EDB Postgres AI reduced overall complexity by 67%, delivered a 3x faster design-to-delivery capability (from seven months to nine weeks), and a 38% reduction in maintenance complexity and costs." — William McKnight, President, McKnight Consulting Group.

Partner ecosystem support

The platform is supported by partners such as Red Hat, which highlighted the importance of collaborative ecosystems in operationalising open source AI for enterprises.

"Globally, customers are increasingly turning to tested, optimized, and scalable architecture to more effectively implement open source AI at the enterprise level. To help meet this need, Red Hat collaborates through a robust partner ecosystem, including EDB, to help empower organizations with the solutions, services, and support they need to drive successful business outcomes with AI. Using EDB Postgres AI with Red Hat OpenShift AI, organizations can benefit from a more consistent platform for sovereign control of a company's data and its own AI models." — Stefanie Chiras, Senior Vice President, Partner Ecosystem Success, Red Hat.

The introduction of these capabilities in EDB Postgres AI aims to provide enterprises the tools required to manage, secure, and operationalise data for AI in compliance with sovereignty requirements, supporting both industry and regulatory needs as the adoption of agentic AI expands.