Eon Yukon 把事件数据整理成 Iceberg 表供智能体通过 MCP 读取
Eon 出了个 Yukon，专门给智能体管数据，走 MCP 读表，官方说比 Spark 省 4 倍算力，做 agent 数据管道的可以看看。
Eon 推出面向智能体数据层的产品 Eon Yukon，负责摄取、清洗和压缩事件数据，写入用户自己存储桶中的开放 Iceberg 表。智能体通过 MCP 读取每张表的上下文，在查询前就知道表里有什么，从而跳过大量无效扫描。在 Eon 公开基准测试中，其计算消耗比 Spark 少 4 倍，比 Flink 少 7 倍。
A lot of the useful agent infrastructure right now is being built below the model, in the data layer.
Agents query the same tables all day, and every request needs the newest rows plus the full history.
@Eon_io_ built Eon Yukon for that pattern. It ingests, cleans and compacts events into open Iceberg tables in your own bucket, and agents read each table’s context over MCP. In Eon’s public benchmark, it used 4x less compute than Spark and 7x less than Flink.
Thats expected because, an agent that knows what a table holds before it queries it can skip a lot of wasted scans.
