Bring data quality to data mesh with Soda
Monitor, validate, and govern data across all domains enabling autonomous teams to produce trusted, discoverable, and actionable datasets.
Trusted by
Trusted data across all domains
Automatically reconcile and validate datasets in every domain, ensuring data products are accurate and consistent without manual oversight.
Real-time data observability
Monitor transformations, detect anomalies, and get alerts instantly, so domain teams can prevent bad data from spreading downstream.
Enforce standards across your data mesh
Define and enforce quality standards for each data product, making cross-domain collaboration frictionless while maintaining shared governance.
Trusted data across all domains
Automatically reconcile and validate datasets in every domain, ensuring data products are accurate and consistent without manual oversight.
Real-time data observability
Monitor transformations, detect anomalies, and get alerts instantly, so domain teams can prevent bad data from spreading downstream.
Enforce standards across your data mesh
Define and enforce quality standards for each data product, making cross-domain collaboration frictionless while maintaining shared governance.
Trusted data across all domains
Automatically reconcile and validate datasets in every domain, ensuring data products are accurate and consistent without manual oversight.
Real-time data observability
Monitor transformations, detect anomalies, and get alerts instantly, so domain teams can prevent bad data from spreading downstream.
Enforce standards across your data mesh
Define and enforce quality standards for each data product, making cross-domain collaboration frictionless while maintaining shared governance.
Confidence in every data product
Automatically reconcile data between domains, monitor transformations in real time, and apply data contracts that keep every data product aligned and trustworthy.
Data Contracts
Enforce data quality agreement across domains
Soda turns shared agreements into automated, enforceable tests across pipelines. This ensures every domain delivers data products that meet agreed standards, fostering trust, discoverability, and consistency throughout the mesh without central bottlenecks.
Data Contracts
Enforce data quality agreement across domains
Soda turns shared agreements into automated, enforceable tests across pipelines. This ensures every domain delivers data products that meet agreed standards, fostering trust, discoverability, and consistency throughout the mesh without central bottlenecks.
Data Contracts
Enforce data quality agreement across domains
Soda turns shared agreements into automated, enforceable tests across pipelines. This ensures every domain delivers data products that meet agreed standards, fostering trust, discoverability, and consistency throughout the mesh without central bottlenecks.
Catalog Integrations
Bi-directional integration for complete visibility
Soda converts governance policies into enforceable tests and controls. Domains stay aligned with agreed standards without manual oversight. Autonomous teams can focus on delivering data products instead of policing quality. This maintains consistency and trust across the mesh.
Catalog Integrations
Bi-directional integration for complete visibility
Soda converts governance policies into enforceable tests and controls. Domains stay aligned with agreed standards without manual oversight. Autonomous teams can focus on delivering data products instead of policing quality. This maintains consistency and trust across the mesh.
Catalog Integrations
Bi-directional integration for complete visibility
Soda converts governance policies into enforceable tests and controls. Domains stay aligned with agreed standards without manual oversight. Autonomous teams can focus on delivering data products instead of policing quality. This maintains consistency and trust across the mesh.
Issue Resolution
Scale check authoring with AI assistance
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
Scale check authoring with AI assistance
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
Scale check authoring with AI assistance
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.
Deployment and Security
Deploy easily and securely at scale
Soda’s self-hosted deployment gives data architects complete control over security, scale, and compliance. Deploy Soda Cloud and its agents directly in your Kubernetes or cloud environment to run quality checks, data contracts, and monitoring at scale — without sending data outside your network.Protected by SOC 2 Type II compliance and enterprise-grade encryption, all credentials, metadata, and quality results stay within your own infrastructure, respecting your access controls, governance rules, and audit trails.
Deployment and Security
Deploy easily and securely at scale
Soda’s self-hosted deployment gives data architects complete control over security, scale, and compliance. Deploy Soda Cloud and its agents directly in your Kubernetes or cloud environment to run quality checks, data contracts, and monitoring at scale — without sending data outside your network.Protected by SOC 2 Type II compliance and enterprise-grade encryption, all credentials, metadata, and quality results stay within your own infrastructure, respecting your access controls, governance rules, and audit trails.
Deployment and Security
Deploy easily and securely at scale
Soda’s self-hosted deployment gives data architects complete control over security, scale, and compliance. Deploy Soda Cloud and its agents directly in your Kubernetes or cloud environment to run quality checks, data contracts, and monitoring at scale — without sending data outside your network.Protected by SOC 2 Type II compliance and enterprise-grade encryption, all credentials, metadata, and quality results stay within your own infrastructure, respecting your access controls, governance rules, and audit trails.
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