Details dependability engineering startup Datafold mentioned on Nov. nine it lifted $twenty million in a Series A round of funding to help the seller construct out its technologies and go-to-market place initiatives.
Based in San Francisco, Datafold was founded in 2020 with a target to expand visibility into data pipelines to help organizations strengthen data excellent as perfectly as dependability.
The company’s founder and CEO, Gleb Mezhanskiy, has working experience doing work in data engineering roles, together with a stint at journey-sharing supplier Lyft, exactly where he recognized that data dependability tooling desired to be additional closely built-in with the progress and operation architectures in use at present day organizations.
Datafold’s data dependability system incorporates data catalog, data lineage and checking capabilities together with a Details Diff device for regression screening of data pipelines.
In this Q&A, Mezhanskiy explains what data dependability engineering is and why the seller is expanding.