Tech isn't the reason for data quality issues. Humans are.

Gable helps organizations improve data quality at scale by fostering communication between data producers and consumers via data contracts.

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01/03
Implement

Create data contracts

Achieving data quality at scale requires ownership and a shared understanding of business logic. Data contracts enable you to establish owners of data assets, set requirements for the data, and codify these nuances as version-controlled code.

02/03
Alert

Prevent breaking changes

Reactive data monitoring is not enough. Gable ensures that alerts are actioned upon by embedding notifications within the CI/CD workflow. Our GitHub bot provides context to developers where they work and tags data consumers when breaking changes are detected.

03/03
Communicate

Scale developer communication

Gable helps bridge the communication gap between data producers and consumers. Our data collaboration platform aligns relevant stakeholders on data requirements, their revenue impact, and who needs to take action–all before a breaking change is made.

01/03
Implement

Create data contracts

Achieving data quality at scale requires data ownership and a shared understanding of semantics. While good-faith conversations with developers work at first, it quickly becomes unmanageable. Data contracts enable you to establish owners of data assets, set requirements for the data, and codify these nuances as version-controlled code.

02/03
Alert

Prevent breaking changes

Alerts of breaking changes are not enough. Gable ensures that alerts are actioned upon by embedding notifications via the CI/CD workflow. Our GitHub bot meets developers where they work and tags relevant data asset owners within GitHub’s pull request comments.

03/03
Communicate

Scale developer communication

Don’t let poor communication be the bottleneck for resolving data quality issues. Move from reactive fixes to proactive solutions by utilizing Gable. Our data collaboration platform aligns relevant stakeholders on data asset requirements, their revenue impact, and who needs to take action– all before an eventual breaking change.

Transforming data engineering teams

Gable breaks down the walls between developers and data teams fostering collaboration and strong data products. I'm extremely excited to see where the team goes from here.

Joe Reis
Best Selling Author of Fundamentals of Data Engineering

When talking with 1000s of customers there has always been a problem around getting alignment between data consumers and data producers. Gable has built a solution to help solve the problem once and for all and make data a team sport. Teams can easily define data contracts which makes all other downstream use cases more robust without having to worry about data quality issues and things breaking upstream.

Patrick Thompson
Director of Product at Amplitude, Cofounder & CEO at Iteratively

Integrate seamlessly with your entire data stack