Async IO support for Azure Cosmos DB Python SDK, an important and much-anticipated capability, is now available in preview! Async IO is a concurrent programming method in Python that makes running CRUD (create, read, update, delete) operations in parallel easy to do.
Discover best practices to help improve the read performance of Spring applications when using the new Spring Data Azure Cosmos DB v3 for Core (SQL) API.
We are excited to announce that Azure Cosmos DB now has GA support for Glowroot for its Cassandra API. This allows users of Azure Cosmos DB’s Cassandra API to get all the benefits of using Glowroot. While for Glowroot users an additional benefit of having fully managed Azure Cosmos DB Cassandra API.
The Java SDK v4 for Azure Cosmos DB has many improvements and new APIs to help increase the performance of your applications. Discover how the new version helps improve application performance by reducing the number of network roundtrips and latency when using direct mode in the Java SDK v4.
New features and capabilities for Azure Cosmos DB were announced today at Microsoft Ignite (November 2021). Read on for highlights and the schedule of events.
You can now use the Azure Cosmos DB indexing metrics, now generally available, to optimize query performance! The indexing metrics show indexes that the query engine used and index recommendations for improving query performance.
Support for custom partitioning in Azure Synapse Link for Azure Cosmos DB was announced in preview at Microsoft Ignite. This capability improves query performance by enabling you to partition Azure Cosmos DB analytical store data using keys that are frequently used as query filters.
To help customers better manage and control their database operations budgets, a new provisioned throughput spending limit feature was announced at Microsoft Ignite and is now generally available.
Check out the new partial document update feature for Azure Cosmos DB Core (SQL) API, announced at Microsoft Ignite. This feature makes it possible to use the Java, .NET, and Node.js SDKs to perform path-level updates to specific fields/properties in a single document without needing to perform a full document read-replace operation.
What’s better than faster queries – how about an order of magnitude faster queries? That’s what indexes do in the API for MongoDB. Let’s dive into the three things that are most important for MongoDB developers to know about indexing when building their applications on the API for MongoDB.
