Anxious about BCBS 239 compliance deadlines?

Soda directly operationalizes BCBS 239 principles, and it does so across all core data quality processes: reconciliation, validation, testing, and controls.

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Reconcile and validate risk data easily

Soda automates data reconciliation, validation, and testing to ensure your risk data is accurate, timely, and fully traceable. Ready for both internal decisions and BCBS 239 review.

Monitor data accuracy and fix issues fast

Check the quality of your risk data, flag errors as they happen, and help teams resolve them with full audit trails to ensure strong controls and reliable reporting under BCBS 239.

Bi-directional Data Lineage Integration

Automatically turn governance rules set in data catalogs into actionable, enforceable quality checks. Leverage your catalog and Soda to comply with BCBS 239.

Reconcile and validate risk data easily

Soda automates data reconciliation, validation, and testing to ensure your risk data is accurate, timely, and fully traceable. Ready for both internal decisions and BCBS 239 review.

Monitor data accuracy and fix issues fast

Check the quality of your risk data, flag errors as they happen, and help teams resolve them with full audit trails to ensure strong controls and reliable reporting under BCBS 239.

Bi-directional Data Lineage Integration

Automatically turn governance rules set in data catalogs into actionable, enforceable quality checks. Leverage your catalog and Soda to comply with BCBS 239.

Reconcile and validate risk data easily

Soda automates data reconciliation, validation, and testing to ensure your risk data is accurate, timely, and fully traceable. Ready for both internal decisions and BCBS 239 review.

Monitor data accuracy and fix issues fast

Check the quality of your risk data, flag errors as they happen, and help teams resolve them with full audit trails to ensure strong controls and reliable reporting under BCBS 239.

Bi-directional Data Lineage Integration

Automatically turn governance rules set in data catalogs into actionable, enforceable quality checks. Leverage your catalog and Soda to comply with BCBS 239.

Turn static rules from your data catalog and lineage tools into automated data quality checks

Automatically translate governance policies from Collibra, Atlan, or Alation into real, executable data quality checks. Soda closes the gap between data governance and engineering.onciliation, quality testing, and monitoring capabilities ensure data trust at each stage of your migration: from initial planning through production deployment.

Data Reconciliation

Detect reconciliation failures the moment they happen

When reconciliation checks fail or data patterns deviate from expected norms, your team receives instant alerts to investigate and address root causes.

Data Reconciliation

Detect reconciliation failures the moment they happen

When reconciliation checks fail or data patterns deviate from expected norms, your team receives instant alerts to investigate and address root causes.

Data Reconciliation

Detect reconciliation failures the moment they happen

When reconciliation checks fail or data patterns deviate from expected norms, your team receives instant alerts to investigate and address root causes.

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.

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.

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

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.

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.

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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.

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