Governance Throughout

Governance Built-In, from start to finish

Embed your teams are marching to the same beat with trusted governance practices across your entire process. From Git integration and CI/CD to catalogs and access control. With Datacoves, you gain consistency, visibility, and control without the added overhead of having to figure everything out yourself.

Governance throughout hero illustration
Seamlessly connect with existing Git repositories

Git integrations

Seamlessly connect with your existing Git repositories, in GitLab, GitHub, Bitbucket and even Azure DevOps.

CI/CD support illustration

CI/CD support

Robust continuous integration and continuous deployment pipelines to automate testing and deployment, ensuring reliable and efficient code releases. 

Connect with existing data catalog or Datacoves' Managed DataHub

Use your data catalog—or ours

Connect with your existing data catalog or use Datacoves' Managed DataHub for organized, accessible metadata that enhances data governance and discoverability.

Enforce robust security measures

Security & access control

Enforce robust security measures and granular access controls to protect sensitive data and comply with regulatory requirements.

Leverage our industry-standard best practices

Proven best practices

Leverage our industry-standard best practices embedded within the platform, streamlining workflows and promoting consistency across projects.

See how Datacoves help transform data operations

Johnson & johnson data evolution thumbnail

J&J's data evolution: Innovating with Datacoves & dbt

“Datacoves really is a framework accelerator for us. They really are bringing automation tailored to our needs.”

Bart Vandendriessche, Manager Technology Services

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Frequently asked questions

Find answers to your questions below. Contact us if you couldn't find what you're looking for.

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What governance capabilities does Datacoves include out of the box?

Git integrations, CI/CD pipelines, and best practices baked in across all layers.

Can I use my existing data catalog with Datacoves?

Yes, connect your existing catalog.

How does Datacoves help maintain security and consistency across teams?

Industry-standard best practices, fine-grained access controls, and CI/CD-driven governance keep teams aligned. Datacoves also maintains the open source project Snowcap (https://snowcap.datacoves.com) so teams can manage their Snowflake infrastructure as code.

How does Datacoves enforce governance without slowing teams down?

Datacoves embeds governance into the development workflow rather than adding separate approval steps. CI/CD pipelines run automated tests on every pull request, catching issues before they reach production. Best practices for model naming, testing, and documentation are pre-configured so new team members follow standards from day one without a governance team policing every commit. Datacoves maintains the open source project dbt-checkpoint used to automate governance by hundreds of teams in the dbt community.

Does Datacoves support compliance requirements like SOC 2, HIPAA, or GDPR?

Datacoves is built with enterprise security requirements in mind. Private cloud deployments keep data entirely within your infrastructure. Fine-grained role-based access controls, SSO integration, secrets management, and audit-friendly CI/CD pipelines support compliance programs. For specific certification questions, our team is happy to discuss your requirements during an architecture review.

How does Datacoves handle access control for large or multi-team environments?

Datacoves integrates with your existing identity provider via SSO (EntraID, Okta, and others). Role-based access is managed at the environment level, so different teams can have isolated development environments while sharing a governed production layer.

What best practices does Datacoves build in by default?

Datacoves ships with pre-configured project structures, dbt-coves automation for model generation and source freshness, CI/CD templates, and documentation standards. These are drawn from years of enterprise dbt deployments, including J&J, Orrum Clinical Analytics, and others, and are baked into the Turnkey Developer Environment so every new team member starts on the same foundation.

Why do enterprises trust Datacoves for managing data?

“Datacoves enabled us to reduce time to market by delivering a secure pre-configured environment for dozens of Analytics Engineers and to implement best-in-class DataOps processes on a dbt and Snowflake foundation”

Tobias Temmink - data management lead J&J
Emilio Gomez
Data Management Lead at Johnson & Johnson

“Without Datacoves I would have needed a whole team to get all of these services put together and integrated”

Eugene Kim - data architect of Orrum
Eugene Kim
Data Architect at Orrum Clinical Analytics

“Datacoves solves the infrastructure problem. Datacoves packages together all the tools needed to support data teams of all sizes.”

Nate Sooter - senior manager business analytics of Insightly
Nate Sooter
Senior Manager Business Analytics at Insightly

“The stability, Kubernetes-backed scalability, and overall reliability of the Airflow environment have been the cornerstone of achieving our data system goals.”

Alex Sweet - head of data platform Datadrive
Alex Sweet
Head of Data Platform at Datadrive

“We have a background in Data Architecture, but building a way of managing dbt and Airflow together would have been a project in itself.”

Martin Ryan - technology engineering of J&J MedTech
Martin Ryan
Technology Engineering at J&J MedTech

Seamless data analytics with managed dbt and Airflow

Don’t let platform limitations or maintenance overhead hold you back.

Noel gomez