EDB Postgres AI

Extend enterprise Postgres with native AI vector processing, an analytics lakehouse, and unified hybrid data management.

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Description

EDB Postgres AI is a platform designed to address enterprise challenges by integrating advanced capabilities into the Postgres database system. It enhances standard enterprise-grade Postgres with native AI vector processing, enabling efficient handling of AI-related data workloads and vector similarity searches directly within the database. Additionally, it incorporates an analytics lakehouse, providing a unified space for diverse data analysis and storage needs, combining the benefits of data lakes and data warehouses.

The platform offers a comprehensive solution for observability and hybrid data management, allowing businesses to monitor performance and manage their data consistently across different environments, including cloud and on-premises setups. Purpose-built for the demands of AI applications, EDB Postgres AI aims to provide the agility of cloud services while maintaining sovereign control over data, supporting critical use cases like Sovereign AI initiatives, legacy application modernization, and geo-distributed application architectures.

Key Features

Native AI Vector Processing: Enables efficient handling and searching of vector data within Postgres.
Analytics Lakehouse: Integrates data lake and data warehouse capabilities for unified analytics.
Unified Observability Platform: Provides tools for monitoring database performance and health.
Hybrid Data Management: Supports consistent data management across cloud and on-premises deployments.
Enterprise-Grade Postgres Extension: Builds upon robust Postgres features for demanding enterprise needs.
Sovereign Control Capabilities: Facilitates control over data location and governance.