Databricks debuted its Lakebase fully managed database and Agent Bricks agent development workspace at the Data + AI Summit.

The big ticket items are the addition of a SQL Analytics Workspace ... multiple clusters. The Databricks platform will route all endpoint query requests to a particular cluster, in appropriate ...

Spark and the Databricks workspace. The idea behind the product, Stoica says, is to provide a single place to process data without having to worry about managing a Hadoop cluster to process your data.

But both personas will feel more comfortable developing applications in the new version of Databricks Data Science Workspace, which the company unveiled today at Spark + AI Summit. Databricks first ...

For those of you just tuning in, Spark, an open source cluster computing framework, was originally developed by Matei Zaharia at U.C. Berkeley’s AMPLab in 2009, and later open-sourced and ...

With the new Databricks Apps partners and customers can rapidly build and deploy native applications for the Databricks Data Intelligence Platform that tap into the system’s data and leverages ...

The whole thing works without having to leave the Databricks workspace. “A Databricks user will be able to define features in Tecton and those features will be processed, orchestrated and stored ...

Databricks Cloud handles the metadata, launching and provisioning a Spark Cluster, and makes it easy for that cluster to process an organization's data stored in Amazon's S3 service. Databricks ...

Databricks, a company founded by the creators of the Apache Spark cluster computing framework, announced the beta release of Databricks Community Edition at Spark Summit East in New York City today.