Development DataOps

Develop Better Analytics Faster

Grow DataOps at your organization by orchestrating your development pipelines for fast iteration and delivery.  The DataKitchen DataOps Platform automates time-consuming manual development workflows so that teams can safely innovate and quickly deploy new analytics to production – dramatically improving analytic cycle time and team productivity. 



So much of what we do involves business questions that are fire drills. Executives want answers as quickly as possible. The infrastructure that we’ve set-up with DataKitchen allows us to mix & match data in new ways so that we can quickly get the answer to a question.

Manager, Data Analytics, Celgene

Low-Risk Innovation

With the DataKitchen Platform, developers and self-service users can hit the ground running on new projects. On-demand development environments provide a controlled and secure workspace for new analytic development and experimentation.

Maximize Velocity

Eliminate manual, error-prone, and time-consuming release processes. Automate the end-to-end deployment process so that your team can test and release new analytics quickly and confidently.


Teamwork Makes the Dream Work

Collaborate seamlessly within a single team or across multiple teams. Individuals can create new analytics without disrupting each other or Production, then merge their collective work across environments, locations, and toolchains.


Case Study

Celgene compresses cycle time for new analytics from weeks to one day


Fortune 500 Slashes 4-Month Development Cycle with the DataKitchen Platform »


Orchestrate Your Development Pipelines for Fast and Fearless Deployment »


Environments Power DataOps Innovation »

Deliver Significant Business Value to Your Customers

Iterate and respond to ad-hoc requests immediately.

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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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