Case Study: Rise achieves sub-minute, AI-ready data lake freshness with Eon.io

Rise streams 200B events a day with Eon and cuts compute by 10x

Rise, a global AdTech platform, faced the challenge of processing a massive data stream of over 200 billion daily events, which exceeded a petabyte. The volume came with stringent requirements for sub-minute data freshness and low latency, while the high costs of processing threatened to limit growth. They needed an economical ingestion solution that would deliver data already validated, optimized, and ready for analytics and AI. To solve this, they turned to the Eon platform to build an AI-ready data foundation.

By implementing Eon, Rise gained a managed ingestion pipeline that streams data into an open Apache Iceberg data lake with sub-minute freshness. The Eon solution uses intelligent filtering and continuous optimization, resulting in data that lands ready for use. This approach achieved a 10x reduction in compute consumption and up to 30x lower costs compared to a similar Apache Flink deployment, making petabyte-scale, AI-ready infrastructure economically viable for Rise.

Rise