Databricks adds new SQL Analytics Workspace and Endpoint features, ... The auto-scaling is governed by a customer-specified cluster count minimum and maximum.

Workspaces also streamlines the process of deploying these collaborative data science software projects into working applications – running in the Databricks environment, of course. And because ...

Databricks, the commercial entity created by the developers of the open source Apache Spark project, announced $33M in Series B funding today and the launch of a new cloud product, their first one ...

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 Apps enables developers to build apps natively in Databricks using such tools as Visual Studio Code and PyCharm and popular Python frameworks, such as Dash, Shiny, Gradio, Streamlit and ...

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 ...

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, 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.