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 ...

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 ...

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, the company founded by the creators of Apache Spark—the powerful open-source processing engine that provides blazingly fast and sophisticated analytics—announced today the launch of ...

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.

Spark has taken big data by storm. What's next for the in-memory engine of choice? Spark's primary commercial backer, Databricks, offers a clue Last week at Spark Summit East, Databricks dropped a few ...

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