Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

Databricks first launched Workspaces in 2014 as a cloud-hosted, collaborative environment for development data science applications. Since then, Jupyter has become a lot more popular, says Matei ...

It adds a cluster manager, notebooks, dashboards, jobs, and integration with third-party apps, to the free open source Spark distribution. Databricks provides several sample notebooks for ML problems.

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.

The new Databricks Apps development capabilities make it easier to build and deploy data-intensive and AI applications.

Databricks now supports Tecton feature store to help enterprises accelerate their machine learning training projects.

As part of his keynote at Spark Summit 2014, Databricks CEO Ion Stoica announced Databricks Cloud, a turnkey platform for in-memory cluster computing that promises huge performance improvements ...

Data + AI Summit -- Databricks, the Data and AI company, today announced the launch of Databricks One, a new experience that gives all business users simple and secure access to the data and AI ...

Databricks, the commercial entity created by the developers of the open source Apache Spark project, announced $33M in Series B funding today and the ...

Databricks Community Edition is a free version of the company’s cloud-based big data platform, designed to provide users with access to a micro-cluster and a cluster manager and notebook ...