The latest release of EDB Postgres AI is poised to revolutionize the way enterprises deploy and manage AI-driven applications in hybrid environments. According to a 2024 EDB survey, more than half of enterprises (56%) run mission-critical workloads in hybrid environments, highlighting the need for tools that offer both agility and control. EDB Postgres AI's Q4 release delivers exactly that, with five new features that empower developers to build secure, flexible, and high-performing applications in a sovereign, hybrid environment.

The Hybrid Control Plane is a key feature of the release, providing a single-pane-of-glass observability across all EDB Postgres AI deployments. This enables developers to operate with greater efficiency, faster troubleshooting, and tighter control over hybrid environments. The Hybrid Control Plane also automates provisioning, backups, and point-in-time recovery (PITR), freeing teams from repetitive, costly admin tasks and boosting operational productivity by 30%.

Another significant feature is the Analytics Accelerator, which enables teams to run analytical queries directly on core business data in EDB Postgres AI. This approach delivers queries that are 30x faster compared to standard PostgreSQL, without the need for ETL workflows or separate data warehouses. The Analytics Accelerator also introduces tiered storage, offloading "cold" data to object storage, reducing reliance on high-cost SSDs and lowering storage costs by 18x.

The AI Accelerator is a game-changer for developers, allowing them to build generative AI functionality with just five lines of SQL. This eliminates the need for separate AI tools, multiple embeddings, and external AI services, ensuring data sovereignty and reducing the risk of data exposure. The AI Accelerator includes the EDB Pipelines extension, which is preloaded with pgvector, managed pipeline, and automated embeddings, enabling teams to store, query, and maintain embeddings within a single database.

In addition to these features, the release also includes a Secure Open Software Solution, providing greater supply chain visibility and compliance for developers working in regulated environments. The software bill of materials (SBOM) provides a clear, verifiable view of every component used in EDB Postgres AI, enabling development teams to identify and mitigate potential security vulnerabilities.

Enhanced data migration tools are also part of the release, streamlining legacy modernization and providing a secure, low-downtime way to modernize legacy apps. The Data Migration Service (DMS) and Data Sync tools use change data capture (CDC) to sync data from Oracle and PostgreSQL databases, ensuring that data stays fresh during migration.

According to Aislinn Shea Wright, VP of product management at EDB, this release redefines what hybrid control can achieve. "With EDB Postgres AI, enterprises get the power of cloud agility, the certainty of control, and the freedom to innovate on their own terms," she said.

The implications of this release are far-reaching, enabling enterprises to deploy AI-driven applications in a sovereign, hybrid environment with enhanced security, scalability, and control. As the demand for hybrid environments continues to grow, EDB Postgres AI is well-positioned to meet the needs of enterprises seeking to innovate and stay ahead of the curve.