DataKitchen: The DataOps Company

Enabling data and analytic teams to deliver innovative business insights through iterative development and deployment of data analytic pipelines using our DataOps platform.

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Successful projects generate lots of requests.

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dataops datakitchen

DataKitchen's DataOps platform is for data engineers, scientists and analysts to:

  • Orchestrate data to customer value
  • Speed ideas to production
  • Automate and monitor quality

DataKitchen provides the world's first DataOps platform for data-driven enterprises, enabling them to support data analytics that can be quickly and robustly adapted to meet evolving requirements. DataKitchen is leading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing based statistical process control into analytics and data management.

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Orchestrate data to customer value

Analytic processes are like manufacturing: materials (data) and production outputs (refined data, charts, graphs, model)

Orchestrate data to value.

Speed Ideas to Production

Analytic processes are like software development: continually move from development to production

Speed ideas to production.

Innovation Through Iteration

Focus on both orchestration and deployment while automating & monitoring quality

Speed ideas to production.

Customer Case Studies

Case Study: Celgene's Product Launch

Celgene. When a pharmaceutical company wins FDA approval, they enter a critical time. Celgene's analytic team's internal customers need up-to-date information to allocate samples, plan marketing events, and of course, monitor progress vs. goals. Changes happen at a frenetic pace and the tolerance for error is very low. The DataKitchen DataOps platform plays a key role in delivering insight fast, with high quality using a diverse set of tools. DataKitchen Recipes run daily incorporating the newest sales data from Veeva, corporate MDM data, and multiple syndicated data sources into a large Redshift database. Crack analysts use Tableau and Alteryx to present dashboards and develop predictive models. Read the Case Study and Blog Post

Case Study: Helping 130 Million People

CRS When one of the largest international relief organizations wants to understand their donors and increase the funds able to help 130 million people in more than 90 countries and territories, they know that the traditional slow and fragmented analytic process does not meet their needs. The analytic team needs an integrated database updated daily, the ability to make changes to that database weekly, and the confidence to use Tableau to make changes real-time. They need DataKitchen's DataOps platform to provide the mechanism to make quick changes, keep quality high, and use the tools they love.


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The DataKitchen management team has decades of experience in software, analytics and data.

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News And Events

We are active in spreading the word on DataOps. Check here to see if we are coming to an event near you.

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Open Source

We have several open source repos on GitHub. The most important is our AnalyticContainer specification on GitHub.

DataKitchen Open Source

We Are Hiring!

Our company is profitable, stable, and rapidly growing. We offer very competitive pay and benefits, such as a company funded 401K. Come join an experienced team (we all code), amazing customers, equity, and a cool office location.

Open Positions

The DataOps Manifesto

DataOps helps analytic teams rapidly produce insight, turn that insight into operational process, and continuously improve analytic operations and performance.

Analytic Development Methodology

DevOps for Analytics

DataOps emphasizes communication, collaboration, integration, automation, and measurement of the entire analytic team.

Focused on Analytic Teams

Coordinate Analytic Teams

DataOps promotes cooperation within the analytic team: data scientists, analysts, data/ETL engineers, IT, and quality assurance/governance.

End to End Process

Beginning to End Process

DataOps views all the steps to produce insight -- data ingestion, management, mining, and visualization -- as an improvable operation process.

The DataOps Job

DataOps Role

DataOps is a new role on analytics teams that manages the production and development environments, provides the tools, and orchestrates an Agile process.

About Manufacturing Insight

Lean Manufacturing

DataOps views the delivery of insight as a lean manufacturing process that can be measured and improved with statistical process control.

Lofty Goals

Better and Faster

DataOps spans the entire analytic process from data acquisition to insight delivery in order to deliver better analysis, done faster, cheaper, with higher quality using the tools the analytic team already loves.

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Learn More About DataKitchen

To lean more about DataKitchen offering and services, please click the button below:

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DataKitchen Headquarters:

101 Main Street, 14th Floor
Cambridge, MA 02142

Our Mailing Address:

One Broadway, 14th Floor
Cambridge, MA 02142

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