← Infrastructure
Open-source, end-to-end data engineering.
A modular framework designed to ingest, process, validate, and expose data reliably and at scale, using open-source technologies and reproducible engineering practices.
See it on GitHub →Why it matters
- Runs consistently locally, on-premise, or in the cloud
- Adopted incrementally based on your data maturity level
- Reproducible engineering practices: no black boxes, inspectable code
Frequently asked questions
Do I need to use linalDB to use the Data Framework?
No. They're complementary but independent: the framework ingests, processes, and validates data with any storage engine.
Is it open source?
Yes, available on GitHub, with reproducible engineering practices and no black boxes.
Can I adopt it partially?
Yes, it's adopted incrementally based on the organization's data maturity level.