Automated Record-level Resolution

Automated Record-level Resolution

Automated Record-level Resolution

Automatically route and resolve failed records at source

Automatically route and resolve failed records at source

Automatically route and resolve failed records at source

Identifies failed records and routes them directly to the right operational data source for correction.

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

Trusted by

Trusted by

Trusted by

Capture, store, and investigate failed records. All in your warehouse

Gain full visibility, debug faster, and resolve issues without your data ever leaving your environment.

Real-time resolution at the source

Automatically route failed records back to their origin systems for immediate remediation.

Faster, context-aware debugging

Every failed record comes with full context, helping engineers identify root causes and resolve issues quickly.

Secure by design

All record-level resolutions happen within your environment. No data movement, no exposure, and complete control over access.

Capture, store, and investigate failed records. All in your warehouse

Gain full visibility, debug faster, and resolve issues without your data ever leaving your environment.

Real-time resolution at the source

Automatically route failed records back to their origin systems for immediate remediation.

Faster, context-aware debugging

Every failed record comes with full context, helping engineers identify root causes and resolve issues quickly.

Secure by design

All record-level resolutions happen within your environment. No data movement, no exposure, and complete control over access.

Capture, store, and investigate failed records. All in your warehouse

Gain full visibility, debug faster, and resolve issues without your data ever leaving your environment.

Real-time resolution at the source

Automatically route failed records back to their origin systems for immediate remediation.

Faster, context-aware debugging

Every failed record comes with full context, helping engineers identify root causes and resolve issues quickly.

Secure by design

All record-level resolutions happen within your environment. No data movement, no exposure, and complete control over access.

Issue Resolution

Faster detection to resolution workflows

Quickly trace issues to their root cause with full context from data contracts, anomalies, and historical runs.With every failed record automatically linked to its check and timestamp, teams can investigate, compare, and resolve issues faster.

Issue Resolution

Faster detection to resolution workflows

Quickly trace issues to their root cause with full context from data contracts, anomalies, and historical runs.With every failed record automatically linked to its check and timestamp, teams can investigate, compare, and resolve issues faster.

Issue Resolution

Faster detection to resolution workflows

Quickly trace issues to their root cause with full context from data contracts, anomalies, and historical runs.With every failed record automatically linked to its check and timestamp, teams can investigate, compare, and resolve issues faster.

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

Security

Security & governance you control

The Diagnostic Warehouse stores all diagnostic data, including failed records and check metadata, directly in your own data warehouse, never in Soda. This gives you full control over security, retention, and access, while ensuring compliance with your organization’s policies.Your existing access controls, encryption, and audit trails remain in place, keeping your data private, compliant, and fully governed.

Security

Security & governance you control

The Diagnostic Warehouse stores all diagnostic data, including failed records and check metadata, directly in your own data warehouse, never in Soda. This gives you full control over security, retention, and access, while ensuring compliance with your organization’s policies.Your existing access controls, encryption, and audit trails remain in place, keeping your data private, compliant, and fully governed.

Security

Security & governance you control

The Diagnostic Warehouse stores all diagnostic data, including failed records and check metadata, directly in your own data warehouse, never in Soda. This gives you full control over security, retention, and access, while ensuring compliance with your organization’s policies.Your existing access controls, encryption, and audit trails remain in place, keeping your data private, compliant, and fully governed.

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

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