Announcing the preview of Serverless compute for Databricks SQL on Azure Databricks

[ClintonWFord-Databricks]

This post was authored by Nikhil Jethava and Shankar Sivadasan.

We are excited to announce the preview of Serverless compute for Databricks SQL (DBSQL) on Azure Databricks. DBSQL Serverless makes it easy to get started with data warehousing on the lakehouse. Serverless compute for DBSQL helps address challenges customers face with cluster startup time, capacity management, and infrastructure costs:

• Instant and elastic: Serverless compute brings a truly elastic environment that’s instantly available and scales with your needs. Imagine no longer needing to wait for clusters to become available to run queries or overprovisioning resources to handle spikes in usage.
• Eliminate management overhead: Serverless transforms DBSQL into a fully managed service, eliminating the burden of capacity management, patching, upgrading, and performance optimization of the cluster. You only need to focus on your data and the insights it holds.
• Lower infrastructure costs: Under the covers, the serverless compute platform uses machine learning algorithms to provision and scale compute resources right when you need them. This enables substantial cost savings without the need to manually shut down clusters.

You can use easily integrate DBSQL Serverless with your favorite BI tools such as Power BI to analyze and get insights from your data.

To learn more, read the blog post. Submit a request to start using DBSQL Serverless on Azure