Ofir Ehrlich unveils Eon Yukon, a serverless data engine built for AI-era data infrastructure

Ofir Ehrlich argues that data infrastructure, not model capabilities, is the biggest bottleneck to AI adoption, and announced Eon Yukon as an expansion of the Eon Data Foundation. Yukon processes data from ingestion to serving in one continuous flow, turning events into compacted, deduplicated Iceberg tables within seconds, with real-time aggregations, sub-millisecond access via a Redis-compatible API, and SQL/Spark-compatible querying. It also offers live column-level statistics via MCP. Per the author, at 1M events/sec Yukon used 4x less compute than Spark and 7x less than Flink, with a public benchmark available.

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