Showing results for autoscale - Azure Cosmos DB Blog

Azure Cosmos DB powers some of the world’s most popular intelligent apps like ChatGPT. In a recent hackathon, Over 9,500 developers engaged with Azure Cosmos DB and Azure AI services, making it one of the most popular on Devpost, ranking in the top 0.2% of all Devpost hackathons.  Participants explored AI fundamentals and built their own AI appl...

We are excited to announce the GA of Azure Cosmos DB dynamic scaling – among multiple new features (Binary Encoding, Reserved Capacity) released recently to make your Azure Cosmos DB workloads even more cost efficient. Dynamic scaling is an enhancement to autoscale which provides cost optimization for nonuniform workloads. In the earlier version of...

 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 may be dif...

Build your NoSQL database for speed, scale, and performance with the right data modeling, partitioning, and pricing strategies. In under 2-minutes, these new videos will help guide your next application development project.

Announcing the Azure Cosmos DB Java SDK v4 for SQL API is now generally available. Read about all the new features and capabilities as well as how to migrate or get started with new applications today.

Read about all of the amazing announcements we made at Microsoft BUILD 2020 including Azure Synapse Link for Azure Cosmos DB, autoscale GA, encryption, new Jupyter Notebook features, serverless, new change feed and much more!

Azure Cosmos DB is excited to announce two new offers: autoscale provisioned throughput (GA) and the upcoming preview of serverless. These offers complement our existing standard (manual) provisioned throughput and ensure that Azure Cosmos DB is, more than ever, a database that delivers the best cost and performance for any kind of workload.