Zero-management, multi-tenant clusters improve productivity and performance for interactive data science
San Francisco, CA — (Marketwired – June 6, 2017) – 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.
“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,” said Ali Ghodsi, cofounder and chief executive officer at Databricks.
Additional benefits of Databricks’ Serverless offering include auto-managed:
- Configuration of clusters;
- Scaling of local storage;
- Adaption to multiple users sharing the cluster;
Ghodsi will unveil more details of the new Databricks Serverless platform in his Spark Summit 2017 keynote on Wednesday, June 7, at 9am PT.
Access a trial of Databricks: databricks.com/try-databricks
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz and NEA, has a global customer base that includes Salesforce, Viacom, Amgen, Shell and HP. For more information, visit www.databricks.com.