Fix data pipelines. Before bad data hits production
Detect data quality issues early, route fixes into your pipelines and workflows, and keep your business running smoothly.
Trusted by
Fix data pipelines. Before bad data hits production
Detect data quality issues early, route fixes into your pipelines and workflows, and keep your business running smoothly.
Trusted by
Fix data pipelines. Before bad data hits production
Detect data quality issues early, route fixes into your pipelines and workflows, and keep your business running smoothly.
Trusted by
Shift-left data quality in your pipelines
Test and monitor data in your workflows, detect problems early and route alerts to the appropriate team.
Early detection, upstream resolution
Automatically route incidents to the right owner, so issues get resolved faster and teams stay aligned.
Context-rich fixes where they matter
Every failed check comes with full context, lineage, and contract rule. Engineers can diagnose quickly and apply targeted fixes within the pipeline.
Automated remediation workflows
Failed records are routed directly into operational workflows and upstream systems. Fixes can be automated or routed to the right team.
Shift-left data quality in your pipelines
Test and monitor data in your workflows, detect problems early and route alerts to the appropriate team.
Early detection, upstream resolution
Automatically route incidents to the right owner, so issues get resolved faster and teams stay aligned.
Context-rich fixes where they matter
Every failed check comes with full context, lineage, and contract rule. Engineers can diagnose quickly and apply targeted fixes within the pipeline.
Automated remediation workflows
Failed records are routed directly into operational workflows and upstream systems. Fixes can be automated or routed to the right team.
Shift-left data quality in your pipelines
Test and monitor data in your workflows, detect problems early and route alerts to the appropriate team.
Early detection, upstream resolution
Automatically route incidents to the right owner, so issues get resolved faster and teams stay aligned.
Context-rich fixes where they matter
Every failed check comes with full context, lineage, and contract rule. Engineers can diagnose quickly and apply targeted fixes within the pipeline.
Automated remediation workflows
Failed records are routed directly into operational workflows and upstream systems. Fixes can be automated or routed to the right team.
Find and fix data issues before they reach production
Soda integrates directly into your development and CI/CD pipelines to test data quality early and often. By validating data at every stage, from ingestion to transformation, Soda detects schema changes, reconciliation mismatches, missing values, and anomalies before they affect dashboards, machine-learning models, or downstream consumers. Catch problems upstream, resolve them instantly, and keep every data workflow running clean.
Find and fix data issues before they reach production
Soda integrates directly into your development and CI/CD pipelines to test data quality early and often. By validating data at every stage, from ingestion to transformation, Soda detects schema changes, reconciliation mismatches, missing values, and anomalies before they affect dashboards, machine-learning models, or downstream consumers. Catch problems upstream, resolve them instantly, and keep every data workflow running clean.
Find and fix data issues before they reach production
Soda integrates directly into your development and CI/CD pipelines to test data quality early and often. By validating data at every stage, from ingestion to transformation, Soda detects schema changes, reconciliation mismatches, missing values, and anomalies before they affect dashboards, machine-learning models, or downstream consumers. Catch problems upstream, resolve them instantly, and keep every data workflow running clean.
Integrate Soda across your pipelines to detect and fix issues fast
Run data quality checks inside your pipelines, from ingestion to transformation, across tools like Airflow, Dagster, and dbt Cloud, and data platforms such as Databricks, Snowflake, and BigQuery.
Integrate Soda across your pipelines to detect and fix issues fast
Run data quality checks inside your pipelines, from ingestion to transformation, across tools like Airflow, Dagster, and dbt Cloud, and data platforms such as Databricks, Snowflake, and BigQuery.
Integrate Soda across your pipelines to detect and fix issues fast
Run data quality checks inside your pipelines, from ingestion to transformation, across tools like Airflow, Dagster, and dbt Cloud, and data platforms such as Databricks, Snowflake, and BigQuery.
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
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
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