Operationalize Data Governance with Soda
Define data governance policies in catalogs — seamlessly execute data quality rules with Soda, and actively enforce data quality across pipelines and business workflows.ble data quality checks.
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Activate your data catalogs
Turn static policies into actionable rules and checks that run automatically. Ensure all datasets meet your quality, compliance, and business standards without manual effort.
Bi-directional integration for complete visibility
Soda uses catalog metadata and ownership to power checks, then sends quality results back for complete lineage visibility.
Bridge Business and Engineering
Enable collaboration between technical and non-technical users while embedding repeatable governance practices across your organization.
Activate your data catalogs
Turn static policies into actionable rules and checks that run automatically. Ensure all datasets meet your quality, compliance, and business standards without manual effort.
Bi-directional integration for complete visibility
Soda uses catalog metadata and ownership to power checks, then sends quality results back for complete lineage visibility.
Bridge Business and Engineering
Enable collaboration between technical and non-technical users while embedding repeatable governance practices across your organization.
Activate your data catalogs
Turn static policies into actionable rules and checks that run automatically. Ensure all datasets meet your quality, compliance, and business standards without manual effort.
Bi-directional integration for complete visibility
Soda uses catalog metadata and ownership to power checks, then sends quality results back for complete lineage visibility.
Bridge Business and Engineering
Enable collaboration between technical and non-technical users while embedding repeatable governance practices across your organization.
Turn your data catalog and lineage investments into real impact
Automatically translate governance policies from Collibra, Atlan, or Alation into real, executable data quality checks. Soda closes the gap between data governance and engineering.
Catalog Integrations
Bi-directional integration for complete visibility
Continuously sync metadata between Soda and your catalog or lineage tools to keep governance and quality aligned.Soda uses data from your catalog, like ownership, business context, and governance rules, to power smarter quality checks.It then sends results and issue details back in real time, giving every team full visibility into data health where they already work.
Catalog Integrations
Bi-directional integration for complete visibility
Continuously sync metadata between Soda and your catalog or lineage tools to keep governance and quality aligned.Soda uses data from your catalog, like ownership, business context, and governance rules, to power smarter quality checks.It then sends results and issue details back in real time, giving every team full visibility into data health where they already work.
Catalog Integrations
Bi-directional integration for complete visibility
Continuously sync metadata between Soda and your catalog or lineage tools to keep governance and quality aligned.Soda uses data from your catalog, like ownership, business context, and governance rules, to power smarter quality checks.It then sends results and issue details back in real time, giving every team full visibility into data health where they already work.
Soda AI
Turn governance policies into action
Soda converts plain-English governance rules into executable data quality checks. Governance teams define expectations, and engineers review and approve them before deployment, combining clarity with control.
Soda AI
Turn governance policies into action
Soda converts plain-English governance rules into executable data quality checks. Governance teams define expectations, and engineers review and approve them before deployment, combining clarity with control.
Soda AI
Turn governance policies into action
Soda converts plain-English governance rules into executable data quality checks. Governance teams define expectations, and engineers review and approve them before deployment, combining clarity with control.
Diagnostics Warehouse
Investigate failed checks and diagnose data issues
Teams can trace issues to their root cause with full context from data contracts, anomaly detection, and historical runs — building operational workflows directly on top of scan results.Each failed record is automatically isolated and linked to its check, timestamp, and related context, making it easy to compare, investigate, and resolve issues fast.
Diagnostics Warehouse
Investigate failed checks and diagnose data issues
Teams can trace issues to their root cause with full context from data contracts, anomaly detection, and historical runs — building operational workflows directly on top of scan results.Each failed record is automatically isolated and linked to its check, timestamp, and related context, making it easy to compare, investigate, and resolve issues fast.
Diagnostics Warehouse
Investigate failed checks and diagnose data issues
Teams can trace issues to their root cause with full context from data contracts, anomaly detection, and historical runs — building operational workflows directly on top of scan results.Each failed record is automatically isolated and linked to its check, timestamp, and related context, making it easy to compare, investigate, and resolve issues fast.
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Case studies
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Case studies
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Solutions
Case studies
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Solutions
Company