Cosmos DB

Azure Cosmos DB is Microsoft’s globally distributed, fully managed NoSQL database service designed for low‑latency, high‑availability, and planet‑scale applications. It replicates data transparently across multiple Azure regions, allowing applications to read and write from the nearest location for predictable single‑digit‑millisecond performance. Cosmos DB supports multiple data models—document, key‑value, graph, and column‑family—and provides five configurable consistency levels to balance speed and accuracy.

Benefits of Azure Cosmos DB

• Global distribution: Automatically replicates data to any Azure region, providing local read/write access and 99.999% availability with multi‑region writes.
• Elastic scalability: Scale throughput (RU/s) and storage independently without downtime.
• Multiple consistency models: Strong, Bounded Staleness, Session, Consistent Prefix, and Eventual, allowing fine‑tuned trade‑offs between consistency and performance.
• Multi‑model and multi‑API support: Use SQL (Core API), MongoDB, Cassandra, Gremlin, and Table APIs, all backed by Cosmos DB’s globally distributed engine.
• Low latency: Guaranteed under 10‑millisecond reads and writes at the 99th percentile.
• Built‑in indexing: Every field is indexed by default, eliminating schema and index management overhead.
• High availability & resilience: Automatic replication, failover, and partition management ensure business continuity.

Typical Use Cases

• E‑commerce platforms: Handle global catalogs, shopping carts, recommendations, and real‑time inventory with low latency.
• IoT ingest and telemetry: Capture massive device event streams across continents with predictable write performance.
• Gaming backends: Support player profiles, leaderboards, and real‑time state synchronization worldwide.
• Real‑time analytics and personalization: Power dashboards, session state, and customer insights with fast queries.
• Multi‑region enterprise applications: Deploy mission‑critical systems requiring continuous uptime and geographically distributed users.