Datafold Raises $20 Million to Prevent Data Problems Before They Happen

I’m not sure that “data reliability” is a distinct software category from, say, data pipelines, data quality, and data observability. Still, Monte Carlo used it a year ago and now there’s Datafold, which checks the impact of system changes on data quality before rather than after they go into production.  They just raised a $20 million Series A.  Related: Anomalo recently raised $33 million for automated data quality analysist and Cascade Labs raised $5.3 million for no-code data workflows.