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 ...

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.

At the Databricks Data+AI Summit, held in San Francisco, USA, from June 10 to 12, Databricks announced that it is contributing the technology behind Delta Live Tables (DLT) to the Apache Spark project ...

SAN FRANCISCO, June 11, 2025 /CNW/ --Data + AI Summit -- Databricks, the Data and AI company, today announced it is open-sourcing the company's core declarative ETL framework as Apache Spark ...

With access to datasets widening inside businesses, the Databricks big-data Apache Spark cloud offering is adding new features to cope. Written by Toby Wolpe, Contributor Aug. 5, 2015 at 6:00 a.m. PT ...

Apache Spark is fast, but Databricks is faster. Founded by the Spark team, Databricks is a cloud-optimized version of Spark that takes advantage of public cloud services to scale rapidly and uses ...

The Apache Spark team has also added a new user interface for Spark Streaming; delivered up to 40x speedups for calling R UDFs; and resolved over 3,400 Jira tickets. For more information on Apache ...

Databricks Cloud handles the metadata, launching and provisioning a Spark Cluster, and makes it easy for that cluster to process an organization's data stored in Amazon's S3 service.

What’s maybe more exciting, though, is something Databricks calls Project Lightspeed, which the company describes as the next generation of the Spark streaming engine.

Data + AI Summit -- Databricks, the Data and AI company, today announced it is open-sourcing the company's core declarative ETL framework as Apache Spark™ Declarative Pipelines. This initiative comes ...