Our end-to-end DataOps platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and monitoring to development and deployment.
You’ve already got the tools you need. Our platform automatically orchestrates your end-to-end multi-tool, multi-environment pipelines – from data access to value delivery.
Catch embarrassing and costly errors before they reach the end-user by adding any number of automated tests at every node in your development and production pipelines.
Spin-up repeatable work environments in minutes to enable teams to make changes and experiment – without breaking production.
Fearlessly deploy new features into production with the push of a button. Free your teams from tedious, manual work that impedes innovation.
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See how a leading pharmaceutical company used DataOps to significantly improve product launch success and:
One of the largest international relief organizations used DataOps to understand their donors and increase funds to help 130 million people in more than 90 countries. With DataOps, the team was able to update their database daily and make real-time changes in Tableau, while still using the tools they love.
Innovation in Analytics Requires Iteration. And Iteration is Hard
You need to work with the tools you already have: Databases, Data Engineering/ETL tools, BI Tools, Data Science Tools, and Data Governance Tools. Whew that's a lot.
DataOps Runs the Assembly Line from Data to Customer Value. Data Analytic processes are like manufacturing: materials (data), steps (your analytic tools and code) and production outputs (refined data, charts, graphs, model)
DataOps Speeds Ideas to Production. Continually move from development environments to production
Automatically deliver and operate all your data analytic pipelines — simply, collaboratively, and at enterprise scale — with DataKitchen’s DataOps Platform.
We deliver previously unavailable business insights by enabling the deployment, monitoring, and coordination of multi-tool, multi-team, and multi-location data analytic pipelines. Iterate to Innovate.
Learn More About DataKitchen's Leadership in DataOps from leading thinkers.