Open Source Data Observability:

DataOps Observability


When you need rapid and trusted customer insight, you first need to reduce your team’s hassles and embarrassment by finding errors and bottlenecks in a ‘Mission Control Center’ for all your organization’s data journeys.

DataOps Observability monitors every data journey from data source to customer value, from any team development environment into production, across every tool, team, environment, and customer so that problems are detected, localized, and understood immediately.

The Complete Data Journey

dataops mission control image

Visibility across every myriad step in the data journey, from data source to value delivery.   You can see in-depth into your tools, data, infrastructure, and over organizational boundaries.

“After implementing, we reduced errors to just about one per quarter. We kept adding tests over time; it has been several years since we’ve had any major glitches. This has dramatically increased our team’s efficiency and our end stakeholders’ confidence in the data.” — Associate Director, Insights

Production Expectations, Testing and Alerts

Establish Production expectations with active data quality and tool testing to reduce embarrassing errors to zero.

A User Interface For Everyone

A role-based user interface for everyone

The user interface is easy to understand, and it allows everyone on the team—IT, managers, data engineers, scientists, analysts, and your business customers—to be on the same page.

“When you start looking underneath those pipelines,  you start seeing how many places things can go wrong.” — Head of Data Engineering inside Data Enablement, Top Ten Pharmaceutical Company

Create Specific Alerts Easily 

Create rule-based personalized alerts delivered to email, slack, Jira and more!

Historical Dashboards

Judge Impact And Stop Regressions

dev testing

Stop regressions today!  Development data and tool testing increases the delivery rate and lowers the risk of deploying new insight.

Within 5 minutes, we started seeing events flow into the system.” – Director of Data Engineering, large online store

Simple Integrations and an Open API

Pre-built, fast, easy integrations and open API drive quick implementations without replacing existing tools.

open API

Read The Data Journey Manifesto!

Start Improving Your Data Quality Validation and DataOps Today!



Should You Build or Buy a DataOps Solution »

Open Source Data Observability Software

DataOps Observability: Monitor every Data Journey in an enterprise, from source to customer value, and find errors fast! [Open Source, Enterprise]

DataOps TestGen: Simple, Fast Data Quality Test Generation and Execution. Trust, but verify your data! [Open Source, Enterprise]

DataOps Software

DataOps Automation: Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change. [Enterprise]

recipes for dataops success

DataKitchen Consulting Services


Identify obstacles to remove and opportunities to grow

DataOps Consulting, Coaching, and Transformation

Deliver faster and eliminate errors

DataOps Training

Educate, align, and mobilize

Commercial Pharma Agile Data Warehouse

Get trusted data and fast changes from your warehouse



DataOps Learning and Background Resources

DataOps Journey FAQ
DataOps Observability basics
Data Journey Manifesto
Why it matters!
DataOps FAQ
All the basics of DataOps
DataOps 101 Training
Get certified in DataOps
Maturity Model Assessment
Assess your DataOps Readiness
DataOps Manifesto
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DataKitchen Basics

About DataKitchen

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts


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Monitor every Data Journey in an enterprise, from source to customer value, in development and production.

Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.

Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.