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Azure Cosmos DB gets updated frequently, so to make it easier to stay up to date, we’ve introduced automatic and tailored recommendations for all Azure Cosmos DB users.
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Version 4 of the Azure Cosmos DB Python SDK is now available and includes usability updates to the object model for a better developer experience as well as the ability to use partition keys to scale non-partitioned containers.
Azure Cosmos DB .NET V3 SDK incorporates performance improvements (including the new streaming API), a more intuitive, idiomatic programming model with developer-friendly APIs, and new change feed pull and push programming models.
Now generally available, the Azure Cosmos DB Java V3 SDK features a new, more intuitive, idiomatic programming model with developer-friendly APIs, a reactor-based async programming model and added support for Azure Cosmos DB direct TCP transport protocols to increase performance and availability.
Azure Cosmos DB now offers a preview driver extension for Azure Cosmos DB Cassandra API for Java SDK.
We are now announcing the addition of the Azure Cosmos DB community on ExpressRoute, which will allow for regional advertising of Azure Cosmos DB.
The Azure Cosmos DB Async Java SDK now supports direct mode connectivity, available in version 2.4 and higher.
Enhanced Gremlin functionality in Cosmos DB Gremlin API is now available.
Azure Cosmos DB SQL API provides support for Distinct, Skip & Take, Correlated Subquery and Composite indexes.
Azure Cosmos DB now provides a new RBAC role: Cosmos DB Operator. This new role lets you provision Azure Cosmos accounts, databases and containers, but can’t access the keys that are required to access the data.
Azure Cosmos DB now provides support for databases, containers and offers in Azure Resource Manager.
We’ve corrected billing for Azure SQL Data Warehouse and other Azure services that affected EA customers only.
With a wire-protocol compatible API for etcd on top of Azure Cosmos DB, developers will automatically get highly reliable, globally distributed and highly available Kubernetes and K8 tools with no code changes or management required.
By using built-in support for Apache Spark and Jupyter notebooks, Azure Cosmos DB helps reduce time to insights by ingesting and serving data and running analytics against the local database replica in an Azure region.
Azure Cosmos DB is enhancing the developer experience by adding notebook support in preview.
Now in preview, the Data Migration Assistant provides support to help with migrating data from Cassandra to Azure Cosmos DB.
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