Azure Cosmos DB Blog
The latest news, updates and technical insights from the Azure Cosmos DB team
Latest posts
Mastering Azure Cosmos DB: A Comprehensive Guide from Prototype to Production
Over the past couple of years, we have collaborated with numerous customers to tackle performance, scaling, and cost issues that arise when transitioning their Azure Cosmos DB for NoSQL API based applications to production. In many cases, these challenges stem from a lack of understanding of key Azure Cosmos DB concepts. To address this, We teamed up to create a scenario-based learning video series. We are thrilled to present three informative YouTube videos that delve deep into the workings of Azure Cosmos DB. These videos cover a variety of crucial topics essential for successfully transitioning your pro...
Announced at Build 2024: DiskANN-powered vector database, cross-region replication in vCore, and a new era of databases
Microsoft Build 2024 kicked off this week aiming to answer the question “How will AI shape your future?” You’ll find the answer in the incredible lineup of sessions at this year’s event – featuring talks on generative AI, building copilots, cloud platforms, low-code, and much, much more. The power of cloud scale data – the foundation for transformative AI experiences – has also been highlighted across sessions. Among the biggest data announcements at Build on day one, Microsoft CVP for Azure Data Arun Ulagaratchagan introduced a new era of cloud databases, built for AI apps at any scale, anywhere. These new datab...
Enhancements in the Kafka Connector for Azure Cosmos DB: A New Era of Scalability and Flexibility
The Azure Fabric team announced Azure Cosmos DB CDC source to an event stream in preview at BUILD 2024. This capability uses a brand new major version of The Azure Cosmos DB Kafka Connector behind the scenes, and we are also excited to introduce version 2.0 in beta preview! This new version brings significant improvements in both the source and sink connectors, enhancing scalability, performance, and flexibility for developers working with Azure Cosmos DB. Let's dive into the key advancements and what they mean for your data processing needs. Enhanced Source Connector: Unleashing Scalability One of the prima...
Introducing vector database capabilities in Azure Cosmos DB for NoSQL (Public Preview)
We are excited to announce that native vector indexing and search in Azure Cosmos DB for NoSQL is now available in preview! Azure Cosmos DB is the world’s first full-featured serverless database with vector search and features multiple vector index options from flat (exact), quantized flat, and a new DiskANN-based index. DiskANN is a suite of highly scalable, accurate, and cost-effective approximate nearest neighbor (ANN) algorithms, developed at Microsoft Research, for low-latency and cost-effective vector search at any scale. You can take advantage of Azure Cosmos DB's rich features such as a NoSQ...
Cross-region replication in vCore-based Azure Cosmos DB for MongoDB
A modern managed database service such as Azure Cosmos DB for MongoDB has a growing list of requirements in today’s world. Prompt recovery of the database availability when its region becomes unavailable is one of such critical functions. When a region is experiencing outage, there’re two primary methods for restoring access to data of a managed database located in that region – cross-region replication and backup. By default, vCore-based Azure Cosmos DB for MongoDB stores all cluster data in a selected Azure region. Today you can start using the new cross-region replication capability that allows you to m...
General Availability: Computed Properties in Azure Cosmos DB for NoSQL
We’re thrilled to share that Computed Properties have now hit General Availability in Azure Cosmos DB for NoSQL! Computed properties are a Cosmos DB developer’s dream come true! They allow you to write your query logic just once and then reuse it across multiple queries, saving you time and effort in your database operations. Computed Properties can be added to your indexing policy opening up the possibility to reduce the RU costs and latency of your queries! What are Computed properties Computed properties are a feature in Azure Cosmos DB that allow you to derive values from existing item properties. Howev...
What’s New in vCore-based Azure Cosmos DB for MongoDB
We are excited to share some significant enhancements and new features in our vCore-based Azure Cosmos DB for MongoDB. keeping with our commitment to continually improve Azure Cosmos DB. Let’s dive into the details: We are excited to share that we will soon be expanding our support for MongoDB to include Version 7.0! While we currently offer support for MongoDB Versions 5.0 and 6.0, we are broadening our horizons to include MongoDB Version 7.0 in the near future. We have also introduced support for GeoSpatial Queries in vCore-based Azure Cosmos DB for MongoDB. This new feature will enable you t...
Simplifying your Azure Cosmos DB migration: From Serverless to Provisioned throughput (preview)
Azure Cosmos DB offers a range of options to fit the diverse needs of cloud applications, including the choice between serverless and provisioned throughput accounts. The serverless option is ideal for workloads with unpredictable patterns, but there are instances when transitioning to a provisioned throughput account is advantageous for enhanced performance and more efficient cost management. We are delighted to introduce a new feature that allows for the seamless transition of an Azure Cosmos DB account from serverless to provisioned throughput. This feature aims at streamlining the migration process for our...
General Availability: Index Metrics in Azure Cosmos DB for NoSQL
You can now use the Azure Cosmos DB index metrics to optimize query performance with Index Advisor! Indexing metrics show two important pieces of information: Enabling indexing metrics: You can enable indexing metrics for a query by setting the PopulateIndexMetrics property to true. When not specified, PopulateIndexMetrics defaults to false. The indexing metrics are supported in the .NET SDK (version 3.21.0 or later) and Java SDK (version 4.19.0 or later), and the Python SDK (version 4.6.0 or later) Index impact score: The index impact score is the likelihood that an indexed path, based on t...