Author, speaker, and long-time advocate for flexible, methodology-agnostic data automation.
Roelant focuses on the metadata model and the philosophy behind ADL.
Agnostic Data Labs (ADL) is a data solution automation platform for teams that want an open, agnostic way to manage data assets and processes — without locking themselves into a vendor or a single methodology.
For a tour of what ADL does and the ideas behind it, see Features.
ADL is built by two people who have spent their careers building data solutions, and decided to put what they learned into a tool.
Author, speaker, and long-time advocate for flexible, methodology-agnostic data automation.
Roelant focuses on the metadata model and the philosophy behind ADL.
Engineer and architect with deep experience delivering enterprise data platforms.
Stefan focuses on the generation engine, templates, and how ADL fits into real-world delivery workflows.
Working on a project where ADL could help? Want to share feedback, file a bug, or just say hello? We'd love to hear from you.
The quickest path is to install a starter solution from the Marketplace, run the generator, and see real output land in your repository within minutes.