Spin up a data backend in minutes and start shipping features without capacity planning. Create an account, define a database and container, and pick a partition key based on your highest-cardinality field (for example, userId or deviceId). Connect from your app with the SDK of your choice (.NET, Java, Node.js, Python, or Go). Let the consumption model handle bursty traffic while you focus on modeling: store items as JSON, lean on automatic indexing to query immediately, and refine index policies later to cut request costs. Use Time to Live for ephemeral data, enable continuous backup for point-in-time restore, and track performance in the Metrics blade. When iterating, seed data with the Data Explorer, write a few queries, and validate RU usage before rolling to prod.
Build real-time APIs and event-driven workflows with the change feed. Every insert and update can trigger downstream actions: push notifications via Azure Functions, cache invalidation, or materialized views. For global reach, add regions near your users, choose a consistency level that fits your scenario, and enable automatic failover. Multi-region writes support active-active patterns and conflict resolution rules. Common patterns include: shopping carts with fast reads/writes, gaming sessions and leaderboards, and IoT telemetry with per-device partitions. Keep hot partitions healthy by spreading keys, batch writes with transactional batch where possible, and cap costs by trimming queries with selective projections and filters. more
Azure Cosmos DB
Others
Database Operations <ul> <li>Provisioned Throughput Serverless Consumed Storage <ul> <li>Continuous backup Periodic backup Dedicated Gateway Regional data distribution Automatic and limitless scale Serverless database operations Hybrid platform for Apache Cassandra data No-ETL analytics over real-time operational data Comprehensive security and compliance
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