by Angela Guess

According to a recent press release, “Databricks, the company founded by the creators of the popular Apache Spark project, today announced a new offering that radically simplifies the management of Apache Spark workloads in the cloud. Databricks Serverless, the first fully managed computing platform for Apache Spark, allows teams to share a single pool of computing resources and automatically isolates users and manages costs. The new offering removes the complexity and cost of users managing their own Spark clusters.”

Ali Ghodsi, cofounder and chief executive officer at Databricks, commented, “As enterprises scale their use of Apache Spark, hundreds of data scientists, data engineers and business users need to use the platform. Traditional cloud and on-premise platforms require teams or individuals to manage their own Spark clusters in order to enforce data security, isolate workloads, and configure resource allocation. This approach is costly and highly complex, as every team must learn to manage its own clusters. With Databricks Serverless, organizations can use a single, automatically managed pool of resources and get best-in-class performance for all users at dramatically lower costs. Databricks is excited to announce this offering and to be the only company able to provide it.”

The release adds, “Additional benefits of Databricks’ Serverless offering include auto-managed: Configuration of clusters; Scaling of local storage; Adaption to multiple users sharing the cluster; Security.”

Read more at Globe Newswire.

Photo credit: Databricks