Data Governance Without Execution Falls Short

In the first stages of a data intelligence journey, organizations invest in Collibra to define data governance policies, document critical data elements, and outline data quality rules. But many organizations struggle to put those policies and rules into action.

Collibra serves as a powerful, metadata-driven platform that helps create a solid framework for data governance. To fully realize the value of this framework, more and more organizations leverage Soda's integration with Collibra to enforce governance policies as Soda data quality checks, while taking advantage of the following capabilities:

Data quality management using no-code tools – Soda makes data quality accessible, from engineering to operations, regardless of technical skills
AI assistants to translate Collibra DQ rules into Soda checks – Enable everyone to translate rules into executable data quality checks, without engineering involvement
Bi-directional metadata sharing – Automatically assign data owners across Collibra and Soda, and share data quality related metadata for unified reporting
Shifting data quality left - Enable engineers to implement data quality testing as-code in data and CI/CD pipelines
Collaborative Data Contracts - Create shared agreements between data producers and consumers in a single, streamlined interface to collaborate across teams.

With integrating Soda and Collibra, data governance becomes operational, collaborative, and seamlessly embedded into daily workflows.

Bring Data Governance to Life with Soda's Collibra Integration

Soda enhances Collibra by facilitating a seamless operationalization of data governance, enabling teams to put data quality rules into action without engineering involvement, and drive scalable data quality across the organization — all while leveraging Collibra's metadata model.

Execute Data Quality Rules in Real-Time

Soda documents all data quality checks in Collibra, and helps you translate Collibra-defined data quality rules into directly executable checks.

Run checks in production to validate governed data in real-time.
Run checks in development to prevent bad data from entering production.
Integrate active Soda checks and all check results in Collibra in real-time

Bridge Business & Engineering with No-Code and AI-Powered Checks

Soda enables business teams to contribute to data quality without needing engineering expertise.

No-code checks allow domain experts to define and validate rules without writing SQL.
Soda AI Check Assistant translates natural language rules into executable quality checks.
Collaboration workflows connect governance, data engineers, and business users seamlessly.

Shift-Left with Collaborative Data Contracts

Instead of detecting data issues after they cause problems, Soda allows teams to enforce data quality upfront—making governance preventative rather than reactive.

Circuit-break bad data before it reaches production.
Prevent schema changes or missing data from breaking pipelines.
Collaboratively create agreements between data producers and consumers in a unified interface.

Bi-Directional Metadata Sharing

Share data quality and ownership related metadata across Collibra and Soda, and use Collibra as central metadata repository.

Assign data assets to the right owners across Collibra and Soda (e.g. to feed notification rules).
Integrate custom Soda check attributes to Collibra for a seamless transition of context.
Automatically document all Soda data quality checks in Collibra, next to check results.

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How it Works

Define data quality rules in Soda: Use Soda directly to define data quality rules and execute them as data quality checks directly.
Define data quality rules in Collibra: Alternatively, business and governance teams can define rules and policies in Collibra.
Leverage Soda AI: Turn natural language descriptions on rules in Collibra into executable data quality checks with Soda's built-in AI assistants.
Soda executes and monitors data quality checks: Automated, technical enforcement at every stage of the data pipeline via no-code tools or as-code.
Trusted data is labeled & integrated into Collibra: Data assets receive a trusted/checked status in Collibra, ensuring transparency for all users.
Issues are routed for immediate action: Failed checks are sent to the right teams, preventing bad data from spreading.
Shift left with data contracts: Prevent downstream data issues by enforcing data quality early in pipelines with agreements between data producers and consumers.

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