Azure Cosmos DB

Globally distributed NoSQL database delivering single-digit-millisecond latency and elastic scalability across regions. Combines a schema-agnostic JSON document model with built-in vector search and hybrid search, letting teams store operational data and embeddings in one service.

Trusted by enterprises such as Syensqo and Fortune Brands. Unlike traditional setups that separate transactional databases from vector stores, it unifies both with tunable consistency levels and enterprise SLAs for latency and availability. Official SDKs exist for .NET, Java, Node.js, and Python.

Key capabilities:

• Native document API plus compatibility layers for MongoDB, Cassandra, Gremlin, and Table storage
• Built-in vector search and hybrid search combining embeddings with full-text BM25
• Global distribution with multi-region writes and replication
• Serverless and provisioned throughput with dynamic autoscale
• Change feed for streaming and event-driven architectures

Well suited for AI agents and RAG applications that need real-time data grounding, real-time payments and gaming backends, IoT ingestion and analytics, recommendation engines, and multi-tenant SaaS with flexible schemas. Integrates with Azure OpenAI and common AI frameworks.