The cloud-hosted environment, described by Databricks as being deployed by more than 150 firms, aims to simplify the use of the open-source cluster compute engine and cut the time spent developing, ...

Databricks, the company behind Apache Spark, today announced the beta release of Databricks Community Edition, a free version of the cloud-based big data platform at Spark Summit East. This service ...

At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company's flagship developer event. Among those are the launch of Delta Lake 2.0, the next ...

With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...

Invented eight years ago and intensively commercialized over the past several years, Apache Spark has become a core power tool for data scientists and other developers working sophisticated projects ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

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

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 as ...