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Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

At a Spark Summit 2017 conference this week, Databricks announced that it will be making an instance of the Apache Spark in-memory computing framework available as a managed cloud service running on ...

SAN FRANCISCO, March 6, 2018 — Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark, today announced the availability of Apache Spark 2.3.0 ...

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 ...

Databricks Inc., the primary commercial steward of the open source Apache Spark project for Big Data analytics, has upgraded its Spark-based platform, adding support for the R programming language, ...

Databricks Inc. today agreed to acquire Tabular Technologies Inc., developer of a universal storage platform based on the Apache Iceberg standard. The move signals stepped-up efforts by Databricks to ...

Databricks Inc. today took some serious steps toward boosting the value proposition of the popular open-source Apache Spark big data processing engine, which is facing potent new competition. The San ...

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, ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks, ...