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.

The Apache Spark community has improved support for Python to such a great degree over the past few years that Python is now a “first-class” language, and no longer a “clunky” add-on as it once was, ...

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

Databricks Cloud will provide Spark-based streaming analysis as a service Taking on Google, Databricks plans to offer its own cloud service for analyzing live data streams, one based on the Apache ...

Databricks/Spark on the other hand has had support for Python for a while now, which may help explain what we perceive as a broad differentiation between the two platforms: Flink is used more as a ...

Still, Databricks’ announcements today failed to address its in-memory data processing capabilities, which Mueller said was Spark’s biggest strength but also its biggest weakness.

The June update to Apache Spark brought support for R, a significant enhancement that opens the big data platform to a large audience of new potential users. Support for R in Spark 1.4 also gives ...

Taking on Google, Databricks plans to offer its own cloud service for analyzing live data streams, one based on the Apache Spark software.