Azure Cosmos DB Blog

The latest news, updates and technical insights from the Azure Cosmos DB team

What’s New for Azure Managed Instance for Apache Cassandra at Microsoft Ignite 2023: Building the Next Generation of AI Apps

(image)   Get ready for Microsoft Ignite 2023, where we'll be unveiling exciting new features and enhancements for Azure Managed Instance for Apache Cassandra. With the introduction of vector search, turnkey major version upgrades, turnkey replication for multi-region clusters, turnkey hybrid cluster setup for live migrations, and ...

More IntelliJ support for Azure Cosmos DB!

In September we announced that the Azure ToolKit for IntelliJ plugin now includes support for Azure Cosmos DB. Check out that blog here. This month, we've added more features! IntelliJ IDEA is an integrated development environment (IDE) for Java, Kotlin, Groovy, and other JVM-based languages. The Azure plugin allows Java developers to ...

IntelliJ support for Azure Cosmos DB!

We're excited to announce that the Azure ToolKit for IntelliJ plugin now includes support for Azure Cosmos DB! IntelliJ IDEA is an integrated development environment (IDE) for Java, Kotlin, Groovy, and other JVM-based languages. The Azure plugin allows Java developers to easily develop, configure, test, and deploy highly available and ...

Announcing Materialized Views for Azure Cosmos DB API for Cassandra Preview

Data modeling in the NoSQL world is driven by data access patterns. There are scenarios where it makes sense to duplicate data into multiple separate tables depending on the read/write pattern. This is even more important when you want to access the same information using different unique identifiers (not restricted to only the primary key...

Intra-account container copy jobs for Core (SQL) and Cassandra API accounts (Preview)

Announcing the preview for Intra-account container copy jobs. This functionality helps create offline copies of containers for Azure Cosmos DB for both Core (SQL) API and Cassandra API using Azure CLI. When to use The container copy feature for Azure Cosmos DB is helpful for the following scenarios: Steps to use ...

Explore Azure Managed Instance for Apache Cassandra’s new features

At Microsoft Ignite last November, we announced the general availability of Azure Managed Instance for Apache Cassandra, an Azure service that hosts open-source Apache Cassandra clusters, with automated deployment, scaling, and management operations all built into the service. In this blog, we give a quick recap of what this service has to ...

Monitor Azure Managed Instance for Apache Cassandra using Dynatrace

There is now a new extension from Dynatrace that provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Monitor your clusters with Dynatrace Prometheus Extension Dynatrace Prometheus Extension allows you to monitor and analyze the activity of your Azure Managed Instance for Apache ...

Benchmarking Data Migration from Cassandra to Azure Cosmos DB Cassandra API

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...

Simplified Write and Read Paths in the Azure Cosmos DB Cassandra API

Azure Cosmos DB is a fully managed service which can be used as a backing data store for applications using Apache Cassandra, using the API for Cassandra. Built on top of Azure Cosmos DB, the Cassandra API provides scale, performance and availability guarantees while eliminating the operational overhead needed to manage Cassandra data. In ...

Azure Cosmos DB Cassandra API: A true differentiator with Autoscale

 Overview We know that Apache Cassandra, a wide-column NoSQL database, is a great option to solve the 3 V’s (Volume, Variety and Velocity) of data requirements. It is a given that data will grow as the business expands. Invariably you will need to expand the cluster to accommodate additional data and handle greater throughput. This load ...