DataKitchen’s Story

DataKitchen’s mission is to provide the software, service, and knowledge that makes it possible for every data and analytics team to realize their full potential with DataOps.

In the early 2000s, Chris Bergh, Gil Benghiat, and Eric Estabrooks worked at a small company that offered a full suite of services related to data analytics. Because of the inherent complexity of data pipelines, they found that their teams were constantly challenged and frustrated by their inability to create innovative analytics, reduce embarrassing errors, and try new ideas. They believed there had to be a better way.

They found their answer by studying the software and manufacturing industries, which had been struggling with these same issues for decades. By applying the tools and methodologies from those industries, DataOps was born. The threesome decided to build their own DataOps software platform and start a company. Today, DataKitchen and the DataKitchen DataOps Platform ensure that data professionals across the spectrum no longer feel frustrated and powerless by failed or painfully-slow projects, but instead are energized and excited by their ability to deliver high-quality, on-demand insight.

Awards and Acknowledgements

Trend-Setting Products in Data and Information Management for 2022

Big Data 50: Companies Driving Innovation

2021 DBTA Readers’ Choice Awards – Best DataOps Solution

2021 Data & Analytics Vendor of the Year – OnConferences

DBTA 100 2021, The Companies that Matter Most in Data

Data Breakthrough Awards: DataOps Company of the Year, 2021

Best DataOps Solution Provider, Data Management Insight Awards 2020

Trend-Setting Products in Data and Information Management for 2021

The 10 Coolest Big Data Startups of 2020

Big Data 50—Companies Driving Innovation in 2020

7 Data Start-Ups Shaking Up AI and Analytics

DBTA 100 2020: The Companies That Matter Most in Data

The 10 Hottest Data Science And Machine Learning Startups Of 2020 (So Far)

Gartner Research Names DataKitchen “Cool Vendor” in Data Management for 2019

10 Hot Big Data Companies To Watch In 2020

DBTA 100 2019 – The Companies That Matter Most in Data

The 10 Hottest Big Data Start-Ups of 2019

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By DataOps Phase

Go from zero to DataOps in four incremental phases
Lean DataOps Overview Production DataOps Development DataOps Measurement DataOps Enterprise DataOps

By Buzzword

DataOps is the foundation for these common use cases

Data Observability
Data Mesh
Self-Service Operations

By Platform

DataOps brings agility to any environment

Hybrid Cloud DataOps
Cloud DataOps

By Team

DataOps makes any team more productive

Business Analytics
Central Data/IT
Data Science/AI

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