Ballista A modern distributed compute platform

This Week in Ballista #6

Welcome to the 6th edition of “This Week in Ballista”, a weekly newsletter that summarizes activity in the Ballista Distributed Compute project.

Ballista is a modern distributed compute platform powered by Apache Arrow and primarily implemented in Rust, but designed to provide first-class support for other programming languages, including Python, C++, and Java.

Ballista 0.4.0 Now Available!

We have now released version 0.4.0 and this is a huge milestone for the project because this is the first ever release that can truly be used to run a wide range of distributed queries and demonstrates that the basic architecture is sound.

This release supports running a cluster in standalone mode and also supports Kubernetes deployments.

Please refer to the release notes for more information about the functionality in this release and some preliminary benchmarks comparing performance with Apache Spark. The results are mixed but some of the benchmark queries run with 2x the performance of Spark, which is promising.

However, there is much more work to do to make Ballista scalable and performant with large data sets. The most important optimizations are related to the join support. Here are the relevant GitHub issues:

In addition to these larger bodies of work, there are still numerous smaller bug fixes and incremental improvements that are being planned for subsequent 0.4.x releases and we are now moving to a weekly release schedule, with releases every Sunday to coincide with this newsletter.

Upcoming Talk

Andy Grove will be giving a presentation on Ballista and Apache Arrow at the New York Open Statistical Programming Meetup this Wednesday (2/24). See the event page for more details.

Help Wanted

Please try out Ballista with your own queries and data sets and file issues for any bugs or missing features that you discover. We would really like some help improving the user guide as well.

We are also looking for help with these issues.


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