Take our open source
Point TestGen at a schema and it writes the tests for you. Docker compose up, five minutes, no form in front of it.
Free forever
About DataKitchen
We build the software, do the work, and give the advice that gets your team out of firefighting and back to building. Thirteen years in, the founders still write code. We write the tests, we read the failures they catch, and we write the posts explaining what we found.
In the early 2000s, Chris, Gil, and Eric ran data analytics teams at a small services firm. The teams were smart. The work was not. Every new idea took months. Every release came with a knot in the stomach. Errors showed up in customer reports before anyone on the team noticed them. We apologized more than we built.
Software teams and manufacturing plants had already solved this. Version control, automated testing, continuous integration, statistical process control. None of it had reached data pipelines. So we carried it over. That is where the word DataOps comes from, and why we started DataKitchen in 2013.
Thirteen years later the goal has not moved. You catch problems before your customers do. You change a pipeline without breaking it. You spend the day building instead of explaining a broken dashboard.
Data quality testing is too important to sit behind a seven figure contract.
Great tests are the core of DataOps. Not pipelines, not dashboards, not governance decks. Tests. If your team cannot tell whether today's data is good, nothing else matters. So we gave them away. TestGen and DataOps Observability are open source under Apache 2.0, and the enterprise version is a flat $100 per user per month.
Cheapest first. Stop wherever you have got what you need.
Point TestGen at a schema and it writes the tests for you. Docker compose up, five minutes, no form in front of it.
Free forever
We build or rebuild your data infrastructure, then hand it back to your team to run. We leave. That is the point.
Fixed scope
Sit your data leadership down with us and we will tell you where the hours go. It is usually the same four things.
No product attached
All free, no forms
Chris wrote the algorithms that sequence aircraft arrivals at US airports. Eric modeled how metal deforms at high temperature. Gil has climbed all 67 of New England's four thousand foot peaks, and he keeps the list. We hire people who count things and then go count them again.
Chris Bergh
Co-founder, CEO, Head Chef
Gil Benghiat
Co-founder, Product and Implementation
Eric Estabrooks
Co-founder, Services
Chip Bloche
VP Data Engineering
Aarthy Adityan
VP Software Engineering
Started at MIT Lincoln Laboratory and NASA Ames, writing aircraft arrival optimization for major US airports. Co-author of the DataOps Cookbook and the DataOps Manifesto. Taught math in Botswana with the Peace Corps.
LinkedInData all the way down. Network data at Bell Labs, clinical trial data at PhaseForward, pharma sales data at LeapFrogRx. Stanford CS. Now sailing the Boston harbor islands.
LinkedInStarted on finite element analysis, modeling material deformation at high temperature. Built the cloud and data services team at LeapFrogRx with process improvement baked in. Penn State mechanical engineering.
LinkedInWe took no outside money, so nobody is pushing us to raise your bill. A usage based vendor earns more when your data gets worse. We charge one flat price, however many tables you point us at. Same reason the three books are free with no form in front of them.
30,000+
Manifesto signers
403
Blog posts, all free
$0
Outside funding
Flat
Pricing, always
Start with the free tools. You never have to talk to us.