With DataForge, you can import raw data, clean it, normalize it, and deduplicate it at scale — all from a single, fast, and intuitive interface. No vendor lock-in. No credit card. No nonsense. The Problem I Saw: When I started working with real-world datasets during my B.Tech engineering coursework, I hit the same wall every developer hits: the tools that handle large-scale ETL are either too expensive, too complex, or both. Apache NiFi, Talend, AWS Glue — powerful, yes. But for a student, a startup, or a solo developer, these tools come with steep learning curves, enterprise pricing, and heavyweight infrastructure. On the other end, manual scripts break the moment your dataset scales. There was nothing in the middle — a free, scalable, developer-first ETL engine that just works. So I built one.

DataForge

Distributed ETL pipeline engine.

Distributed ETL pipeline engine.