Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...

Unveiled last June, the Apache Spark cloud-hosted platform from Databricks has now opened its doors for business. Written by Toby Wolpe, Contributor June 15, 2015 at 9:35 a.m. PT ...

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, ...

SAN FRANCISCO, March 06, 2018 (GLOBE NEWSWIRE) -- Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, today announced the ...

Just two months after launching its Apache Spark-powered cloud platform, Databricks has announced a major update with a range of new feautures designed to help users facilitate Spark app development a ...

According to Apache Spark creator Matei Zaharia, Spark will see a number of new features and enhancements to existing features in 2017, including the introduction of a standard binary data format, ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Databricks says Spark 2.0 is five to 10 times faster than Spark 1.6 for some operators due to Tungsten’s Phase 2 whole-stage-code generation and Catalysts code optimization. Simplicity.

SAN FRANCISCO, June 06, 2017 (GLOBE NEWSWIRE) -- Databricks, the company founded by the creators of the popular Apache Spark project, today ann ...

Spark 1.4 also adds DataFrame improvements, enhanced machine learning, DataVis, and Project Tungsten support ...