Unveiled last June, the Apache Spark cloud-hosted platform from Databricks has now opened its doors for business.

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

Databricks believes that big data is a huge opportunity that is still largely untapped and wants to make it easier to deploy and use.

Databricks, the company behind open source Apache Spark, today rolled out a certification program that creates a Spark standard that big data analytic application developers can write to, and that ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

The immensely popular open-source cluster computing framework Apache Spark has just reached version 2.0, according to an announcement by the Apache Software Foundation (ASF) yesterday. Spark’s ...

Two years in the making, Apache Spark 2.0 will officially debut in a few weeks from Databricks, which just released a technical preview so Big Data developers could get their hands on the 'shiny new ...

Databricks is a San Francisco-based startup founded by the team that developed the popular open-source Apache Spark data-processing framework at the University of California-Berkeley.

The Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...