Find the model that best fits your workload, with free options for testing and development. Enjoy virtually unlimited throughput and storage, scale-out architectures for automatic elasticity, traditional scale-up of nodes, and consumption-based serverless options.
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"We needed to support rapid growth with the right scaling support, and we got that with Azure." Frank Puhlmann, Head of Development, Residential IoT Services GmbH (RIoT)
“We can have a system that dynamically inflates during rush hour and then deflates during off-peak travel times.” Yorick Fredrix, Data Engineer, Nederlandse Spoorwegen
"By using Azure Cosmos DB, we can do upgrades and schema-less changes without any downtime.” Yoni Nijs, Cofounder, CTO, and Product Lead, Zero Friction
"We chose Azure Cosmos DB because of its global distribution and ability to handle heavy seasonal bursts.” Bob Strudwick, Chief Technology Officer, ASOS
“We’ve always been sitting on a lot of data, but we needed Azure and AI to unlock its potential.” Charlie Rohlf, Associate VP, Stats Technology Product Development, NBA
For NoSQL data, Azure Cosmos DB for NoSQL offers comprehensive SLAs across throughput, latency, consistency, and high availability. This includes less than 10 millisecond write-and-read latency and 99.999 percent availability. Azure Cosmos DB for PostgreSQL offers 99.95 percent availability. Read the SLA.
Azure Cosmos DB for NoSQL offers comprehensive SLAs across throughput, latency, consistency, and high availability for NoSQL data. This includes less than 10 millisecond write-and-read latency and 99.999 percent availability. Azure Cosmos DB for PostgreSQL offers 99.95 percent availability. Read the SLA.
Azure Cosmos DB for NoSQL is a native non-relational service for working with the document data model. It can arbitrarily store native JSON documents with flexible schema. Data is indexed automatically and is available for query using a flavor of the SQL query language designed for JSON data. Access the API using SDKs for popular frameworks such as .NET, Python, Java, and Node.js.
Azure Cosmos DB for MongoDB lets you interact with Azure Cosmos DB as if it were a MongoDB database, without having to manage the database infrastructure. When using Azure Cosmos DB for MongoDB, all your favorite MongoDB tooling, SDKs, and applications will continue to work. Azure Cosmos DB for MongoDB is available in request unit (RU) and vCore-based form factors to suit your workloads. For detailed compatibility information, see RU documentation and vCore documentation.
Azure Cosmos DB for Apache Cassandra enables you to interact with data stored in Azure Cosmos DB using the Cassandra Query Language (CQL), Cassandra-based tools (like cqlsh), and existing Apache drivers compliant with CQLv4. Your existing Cassandra application can communicate with the Azure Cosmos DB Cassandra API. Soon the API will also connect with Azure Managed Instance for Apache Cassandra.
Azure Cosmos DB offers a solution for modern apps and intelligent workloads by being very responsive with dynamic and elastic autoscale. It is available in every Azure region and can automatically replicate data closer to users. It has SLA guaranteed low-latency and high availability. As a non-relational database, it can ingest, process and index any type or style of data with massive scale. Additionally, Azure Cosmos DB supports vector search in the same database where the data lives.