What’s Presto Summit? It’s the leading Presto conference co-organized by our partner Starburst Data and the Presto Software Foundation.
Overview of the Summit
- Presto is among the fastest growing open source analytical query frameworks with production use cases across industries such as retail, telco, tech and more
- This was a full house event at Twitter HQ with more than 150 attendees
- Excellent keynote on the future of Presto delivered by Martin Traverso, Dain Sundstrom, and David Phillips – the co-creators of Presto and co-founders of the Presto Software Foundation (slides)
What We Learned
- Presto is high performance and has rich functionalities designed for interactive SQL queries
- Rise of cloud deployments of Presto both all cloud as well as hybrid cloud are growing. There is a need to simplify hybrid deployments which currently include making copies of data in the cloud and in some cases to HDFS and managing the Hadoop cluster.
- Big data workloads are increasingly looking for simpler compute orchestration and adopting Kubernetes. Starburst Presto announced a new Kubernetes operator to simplify deployment and scaling of clusters.
Reasons to try the Presto, Alluxio, and Any Storage Stack
- High query performance without operational overhead of data copying or ETL
- Query on data anywhere: hybrid, public cloud, on-premise
- Consistent and low latency
Learn more: Starburst Presto and Alluxio announce strategic OEM partnership | Presto with Alluxio | Download Alluxio
Additional resources:
- Community office hour (virtual): Building Fast SQL Analytics with Presto, Alluxio, and S3
- Got questions? Chat with Alluxio experts on Slack
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Blog
Alluxio's strong Q2 featured Enterprise AI 3.7 launch with sub-millisecond latency (45× faster than S3 Standard), 50%+ customer growth including Salesforce and Geely, and MLPerf Storage v2.0 results showing 99%+ GPU utilization, positioning the company as a leader in maximizing AI infrastructure ROI.
In this blog, Greg Lindstrom, Vice President of ML Trading at Blackout Power Trading, an electricity trading firm in North American power markets, shares how they leverage Alluxio to power their offline feature store. This approach delivers multi-join query performance in the double-digit millisecond range, while maintaining the cost and durability benefits of Amazon S3 for persistent storage. As a result, they achieved a 22 to 37x reduction in large-join query latency for training and a 37 to 83x reduction in large-join query latency for inference.