“We think DataKitchen has a compelling take on the requirements for becoming data-driven, especially as it is set up to address the cultural and process changes that come with transformational projects, and not just the tooling products or services. It is clearly early stages by the company’s own admission, but we are seeing growing interest in the trends that are driving DataOps, if not necessarily the term itself, so we would expect engagement to increase. Even if that takes a few years to reach a tipping point in terms of significant mainstream adoption, DataKitchen can afford to be patient given that it is profitable and growing without outside investment.”
“We Just Eyeball Row Counts and Pray”
We read 849 comments across 18 community threads on Reddit, Hacker News, Stack Overflow, and the dbt Community Forum. The #1 reason data engineers don’t test: nobody gives them the time. The #2 reason: the data changes faster than the tests can keep up. Here’s the full breakdown, in their own words.






