Eon launches Yukon, a serverless data engine for AI agents

Eon announced Yukon, a serverless data engine that expands its Eon Data Foundation. Eon says it replaces the usual stack of Spark and Flink clusters, per-consumer pipelines and hand-written jobs with one continuous flow from ingestion to processing to serving.

According to Eon, events become compacted, sorted, deduplicated Iceberg tables within seconds, and real-time aggregations run inline with fully managed state. Agents and applications can read fresh data with sub-millisecond latency through a Redis-compatible API, or through a SQL- and Spark-compatible query engine. Live column-level statistics are available to agents through MCP.

Eon claims that at 1M events per second and equal freshness, Yukon used 4x less compute than Spark and 7x less than Flink. It says the benchmark is public and can be run with Eon's ingest-bench; the figures are Eon's own.