Showing results for Spark - Azure Cosmos DB Blog

Co-authors: RK Iyer, Mangal Dutta Migrating stateful systems, such as databases, is a complex process. A frequent requirement for customers is to transfer data from DynamoDB to Azure Cosmos DB for NoSQL. This process involves several stages, including exporting data from DynamoDB, performing necessary transformations, and importing the data into...

MongoDB is a popular document database that offers high performance, scalability, and flexibility. Many organizations use MongoDB to store and process large volumes of data for various applications. However, managing and maintaining MongoDB clusters can be challenging and costly, especially as the data grows and the demand increases.  Azure ...

We're always busy adding new features, fixes, patches, and improvements to our Java-based client libraries for Azure Cosmos DB for NoSQL. In this regular blog series, we share highlights of recent updates in the last period.   July - December 2023 updates     Spark 3.4 Support C...

We're always busy adding new features, fixes, patches, and improvements to our Java-based client libraries for Azure Cosmos DB for NoSQL. In this regular blog series, we share highlights of recent updates in the last period.   January - June 2023 updates     Sprin...

Azure Synapse Link now offers time-travel capabilities for Azure Cosmos DB data supporting NoSQL and MongoDB APIs. This exciting feature, currently available in public preview through Azure Synapse Spark, enables you to access Azure Cosmos DB data in the analytical store, precisely as it appeared at specific points in time in history (down to the m...

We're always busy adding new features, fixes, patches, and improvements to our Java-based client libraries for Azure Cosmos DB API for NoSQL. In this regular blog series we'll share highlights of recent updates in the last period.   July - December 2022 updates   Spark 3.3 support Cloud-n...

The largest external customers of Azure Cosmos DB API for NoSQL, running some of the biggest and most mission critical workloads in Azure, are primarily Java users! In this blog we'll give you a quick run-down of all our supported Java-based client libraries, including our battle-tested core Java SDK, its key supported features, and where to go ...

About the authors:  Akash & Alp We are working with many customers who for a variety of reasons such as not having to deal with patching the O/S, upgrades, scalability, etc. are looking to move their Cassandra IaaS workloads to Azure and one of the destinations is Azure Cosmos DB Cassandra API. We wanted to explore and dive deeper into perfo...

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.

In this blog post, we show how to use the Spark 3 OLTP connector for Cosmos DB Core (SQL) API with Azure Databricks workspace and explains how the Catalog API is being used. Also, explores the differences between the partitioning strategies when reading the data from Cosmos DB.