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, ...

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 ...

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 ...

Databricks Inc., a commercial champion of the open source Apache Spark Big Data analytics project founded by the technology's creators, introduced a new free community edition of its Spark-based data ...

At the Hadoop World conference in New York City last fall, much of the excitement was around another big data crunching technology —Apache Spark. Full house with people standing during Spark talk.

Databricks is receiving $60 million in a Series C funding round led by New Enterprise Associates (NEA), boosting its commitment to Apache Spark and the Databricks data platform. Also participating in ...

Databricks, the company founded by the team that created Apache® Spark™, today announced that Apache Spark 2.0 is generally available on its just-in-time data platform, making it the first vendor to ...

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 ...

New Offering Enables Azure Databricks Customers to Quickly Operationalize Spark Data Engineering Workloads with Unprecedented Visibility and Radically Simpler Remediation of Failures and Slowdowns ...