Empowering Data Teams with Production-Aware Intelligence
Built by engineers who've scaled big data infrastructure at enterprise level. We're solving the critical challenge of Spark optimization with AI that understands your production environment.
Our Mission
To make big data systems easier to operate, diagnose, and scale, even for teams without dedicated infrastructure specialists.
We believe every data team should have access to production-aware intelligence that delivers actionable insights, not just generic advice. DataFlint enriches your Spark logs and serves them to AI agents through a Spark MCP server, so our agentic platform - the Agentic Spark Copilot, Cluster Agent, Review Agent, and Fleet Observability - understands your runtime environment, performance patterns, and cost implications, not just Spark syntax.
Why DataFlint Exists
Hours to Minutes
Most Spark debugging takes hours. We reduce it to minutes with production-aware intelligence.
Context-Specific AI
Generic AI advice doesn't work for production workloads. Our AI understands your environment.
Team Independence
Data teams shouldn't need infrastructure specialists for optimization. Make them self-sufficient.
Smart Cost Control
Cost optimization requires production context, not guesswork. Get data-driven savings.
