[LakeOps](https://lakeops.dev) is an autonomous control plane for Apache Iceberg lakehouses. 

It connects to existing Iceberg catalogs and object storage, continuously analyzes table health, file layout, manifests, snapshots, delete files, and query telemetry, then coordinates maintenance operations such as compaction, snapshot expiration, manifest optimization, orphan file cleanup, and delete-file optimization. It also enables and optimizes multi-engine query routing optimization, change simulations, agentic AI readiness, and more. 

Production benchmarks show 60-80% cost saving, 8-12x faster queries and full automation fused with AI to optimize results. 

LakeOps is designed for teams operating Iceberg across multiple catalogs, storage systems, and query engines. It provides lake-wide observability, coordinated automated table maintenance, query-aware compaction with a powerful Rust engine, policy-based governance, multi-engine routing, and agentic AI readiness through MCP interfaces and SQL guardrails, without moving data or replacing the underlying catalog, storage, or compute engines.

LakeOps Enterprise provides an enterprise-grade, secure platform that scales to thousands of tables and PBs of data with ease.

Learn more on the [LakeOps Website](https://lakeops.dev/), [LakeOps documentation](https://lakeops.dev/docs) and the [LakeOps blog](https://lakeops.dev/blog).

LakeOps

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