Collaborative Data Contracts
Collaborative Data Contracts
Collaborative Data Contracts
Ensure consistency across all your data products
Ensure consistency across all your data products
Ensure consistency across all your data products
Define data expectations, enforce them automatically, and prevent issues before they hit production.
Trusted by
Trusted by
Trusted by
Business and Engineering in a shared workflow
We meet users where they are. Engineers run it as code.Business runs it in an interface. One shared workflow. Powered by AI.
Align producers and consumers on one clear data standard
Make expectations explicit. Define quality, structure, and ownership so everyone builds on trusted, consistent data.
Collaborate between Business and Engineering
Engineers work in Git. Business users in the UI. Every change is versioned, with proposals and diffs available in either view.
Ensure consistent quality everywhere
Enforce standards across every data product with contracts to automate quality checks and ensure compliance.
Business and Engineering in a shared workflow
We meet users where they are. Engineers run it as code.Business runs it in an interface. One shared workflow. Powered by AI.
Align producers and consumers on one clear data standard
Make expectations explicit. Define quality, structure, and ownership so everyone builds on trusted, consistent data.
Collaborate between Business and Engineering
Engineers work in Git. Business users in the UI. Every change is versioned, with proposals and diffs available in either view.
Ensure consistent quality everywhere
Enforce standards across every data product with contracts to automate quality checks and ensure compliance.
Business and Engineering in a shared workflow
We meet users where they are. Engineers run it as code.Business runs it in an interface. One shared workflow. Powered by AI.
Align producers and consumers on one clear data standard
Make expectations explicit. Define quality, structure, and ownership so everyone builds on trusted, consistent data.
Collaborate between Business and Engineering
Engineers work in Git. Business users in the UI. Every change is versioned, with proposals and diffs available in either view.
Ensure consistent quality everywhere
Enforce standards across every data product with contracts to automate quality checks and ensure compliance.
Collaborative Workflows
Version control collaboration between Business and Engineering
Engineers work in Git. Business users work in the UI. Every change is versioned, with proposals and diffs available in both views.Business users can propose updates directly from the UI, and engineers can review and verify them where they’re most comfortable, in code or in the UI.
Collaborative Workflows
Version control collaboration between Business and Engineering
Engineers work in Git. Business users work in the UI. Every change is versioned, with proposals and diffs available in both views.Business users can propose updates directly from the UI, and engineers can review and verify them where they’re most comfortable, in code or in the UI.
Collaborative Workflows
Version control collaboration between Business and Engineering
Engineers work in Git. Business users work in the UI. Every change is versioned, with proposals and diffs available in both views.Business users can propose updates directly from the UI, and engineers can review and verify them where they’re most comfortable, in code or in the UI.
Contracts Copilot
AI that writes data contracts with you
Ask in plain English to create or refine Data Contracts, and let the Contracts Copilot generate ready-to-deploy versions in seconds.Enjoy faster setup, consistent standards, and automation that removes the repetitive work across your data stack.Even inside the UI, the Copilot updates and completes your contracts for you. No extra clicks needed.
Contracts Copilot
AI that writes data contracts with you
Ask in plain English to create or refine Data Contracts, and let the Contracts Copilot generate ready-to-deploy versions in seconds.Enjoy faster setup, consistent standards, and automation that removes the repetitive work across your data stack.Even inside the UI, the Copilot updates and completes your contracts for you. No extra clicks needed.
Contracts Copilot
AI that writes data contracts with you
Ask in plain English to create or refine Data Contracts, and let the Contracts Copilot generate ready-to-deploy versions in seconds.Enjoy faster setup, consistent standards, and automation that removes the repetitive work across your data stack.Even inside the UI, the Copilot updates and completes your contracts for you. No extra clicks needed.
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