Streaming Ingestion Made Simple

In today’s fast-paced data environments, the ability to ingest multiple streams of data in near real-time to the lake is becoming essential for organizations of all sizes for analytics. In this session, Matt Fuller (Co-founder & VP of Product at Starburst) and Eric Hwang (Co-creator of Presto/Trino and Distinguished Engineer at Starburst) highlight our streaming ingestion component of the Icehouse architecture—an innovative, open, SQL-based lakehouse solution designed to simplify building, maintaining, and operating an Iceberg-based data lake. 

See firsthand how companies like Going (formerly Scott’s Cheap Flights) are ingesting data at a rate of about 60GB/minute (up to 50 petabytes within the next year) using the Starburst Icehouse architecture.