Today, we are thrilled to introduce support for Python DataFrames in Starburst Galaxy with the launch and support of the PyStarburst and Ibis libraries! These libraries enable you to leverage the flexibility of Python while capitalizing on the scale and performance of the leading MPP SQL query engine. This also allows for a more seamless integration into development practices like version control, CI/CD, unit tests, etc.
Today, we are thrilled to announce that Warp Speed is now generally available in Starburst Galaxy. Warp Speed is an autonomous data lake acceleration layer that supercharges your interactive queries. Preview customers reported an average of 4X improvement in query speed and 7X reduction in CPU time.
We are excited to introduce the new one-click connector to Tableau Cloud that’s coming soon to Starburst Galaxy. This will eliminate additional connectivity tasks like manually passing through server hosts, usernames, and ports. It will also improve productivity for data engineers and allow customers to create interactive dashboards on their modern data lakes faster than ever.
Think of Starburst Galaxy as a single platform where you can discover, govern, analyze, and share all of your data. And the best part? You can do all of this while maintaining ownership over how and where your data is stored.
From June 20th to the 23rd, we will be launching a new feature (or new set of features) at 10 AM ET each day in Starburst Galaxy. But that’s not all. The announcements will ship alongside new tutorials and videos, as well as new opportunities to win swag.
We developed a novel architecture based on fault-tolerant execution. Any task can stop and restart without needing to reproduce any previous results, so you reduce wasted computation. This cuts end-to-end latency, too, since you don’t need to restart from scratch each time. And since you don’t need to hold all the data in memory, you can run large queries with fewer resources.