Build faster with a fully-managed, AI-ready PostgreSQL database
Build generative AI features where your data lives. Use pgvector for native vector search and the AI extension to enable semantic search and RAG, and call models directly from Postgres.
Keep transactional, operational, and AI data in a single managed database. Reduce application complexity and network latency by avoiding external vector stores or custom AI pipelines.
Maintain consistent performance as AI usage grows with built‑in intelligence that helps optimize indexes and query execution. Focus on building features instead of tuning databases for every new workload.
Work with full compatibility with open‑source PostgreSQL and popular frameworks. Develop and manage databases using familiar tools, including the PostgreSQL extension for Visual Studio Code, without vendor lock‑in.
Meet business continuity requirements with up to 99.99% availability with built-in, zone-redundant high availability (HA). Azure automatically handles patching, backups, and failover to keep applications resilient without complex architecture decisions.
Save up to 58%1 in TCO compared to on-premises and self-managed PostgreSQL environments by eliminating hardware expenses, consolidating database operations, automating routine tasks, and simplifying architecture.