Overview

DataFlint brings production-aware AI agents to Apache Spark, helping data teams build, run, and optimize their most critical pipelines with confidence.

While Spark powers modern data platforms, it remains costly and difficult to debug in production. DataFlint closes this gap end-to-end, reviewing pull requests with real production context, auto-scaling clusters to reduce costs by up to 50%, and automatically identifying, root-causing, and fixing performance issues.

When jobs fail, DataFlint doesn’t just alert, it generates fixes and opens PRs for approval. It works across all major Spark platforms, both in the cloud and on-prem.

By integrating with tools like Databricks Genie via the DataFlint MCP, teams can solve performance problems faster, ship with confidence, and achieve 10× impact.