- A non-relational and multi-model database service.
- Improved DB account availability: Data is distributed to other regions without affecting the data consistency across various areas where the data replicates.
- Fits any web application, mobile application, gaming, or IoT application that requires processing, reading, and writing a massive amount of data.
- Users can scale the throughput and storage resources elastically and independently across Azure regions. Thus, it enjoys a fast, less than 10ms latency for both reads and writes workloads due to using local data caching and automatically indexes all incoming data.
- Azure Cosmos DB can access the stored data using the API that fits the user’s application requirements from the supported SQL, MongoDB, Cassandra, Tables, or Gremlin, and the appropriate SDK from the .NET, Java, Node.js, Python, and Xamarin-supported SDK.
- Easy Migration: A user can migrate the application to Cosmos DB without significant changes.
- It provides five well-defined consistency options: Strong, bounded staleness, session, consistent prefix, and eventual, which offers complete flexibility and a low cost-to-performance ratio.
- Throughput: It pro allows the ability to scale the read and write operations and add or remove any regions to respond directly to unexpected workload spikes.
- Security: The stored data is always secured using data encryption at rest and in motion and configuring the row-level authorization.
