Azure Cosmos DB is a globally distributed database service designed to enable you to elastically and independently scale throughput and storage across any number of geographical regions with comprehensive SLAs. You can develop document, key/value, or graph databases with Cosmos DB using a series of popular APIs and programming models.
SQLAPI: With the SQLAPI, Azure Cosmos DB provides rich and familiar SQL query capabilities with consistent low latencies over schema-less JSON data. In this article, we provide an overview of the Azure Cosmos DB’s SQLAPI, and how to best use the API.
Gremlin API: Azure Cosmos DB provides the Gremlin API for graph modeling and traversal, along with turn-key global distribution, elastic scaling of storage and throughput, and low latency.
Cassandra API Azure Cosmos DB supports the Cassandra API. This means that by using existing drivers, your application written for Cassandra can now communicate with Azure Cosmos DB instead of Apache Cassandra/Datastax Enterprise databases, and gain benefits like global distribution and elastic scale.
MongoDB API: Azure Cosmos DB supports the MongoDB API. This means that by using existing drivers, your application written for MongoDB can now communicate with Cosmos DB instead of MongoDB databases, and gain benefits like global distribution & elastic scale.
Table API: Azure Cosmos DB provides the Table API for key-value workloads. This provides a premium experience for Azure Table storage with secondary indexes, global distribution, low latency, and dedicated throughput.