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The platform can run in the cloud or on a physical appliance and is powered by the Postgres engine.

According to EDB, this is crucial to address a problem that most companies are facing. They have embraced AI but lack the fundamental technology to quickly and easily access the abundance of data and fully leverage AI. “We are harnessing the agility of Postgres across transactional, analytical and AI workloads and meeting customers wherever they are – on premises, any clouds, anywhere, or physical appliance,” responded EDB CEO Kevin Dallas.

The new platform features a Lakehouse option. This allows operational data to be stored in a column format, enabling quick analysis. Users can access the data source directly and set up on-demand analytics clusters.

The service supports a vector database to further accommodate EDB Postgres AI. On this, EDB says the following: “Trust in hardened enterprise support, security, high availability, and compliance around pgvector in a new way. Vectorize data to support GenAI applications and LLMs, while keeping that data in a well governed estate.”

EDB also wants to help companies modernize legacy systems with the new service. This is done through Oracle Compatibility Mode, which features a copilot to identify migration obstacles. It should allow companies to more easily replatform existing applications to the platform that can support transactional, analytics, and AI workloads.

Observability and availability

In addition, EDB Postgres AI includes something described as Intelligent Observability. This means a company can manage on-premises and cloud databases through a single set of interfaces. EDB also emphasizes high availability, claiming up to 99.999% uptime and 24/7 access to Postgres experts.

EDB Postgres AI is available immediately.

Tip: EnterpriseDB brings Postgres offerings to Google Kubernetes Engine