Transformation

Collaboration

Testing

Data Transformation

Built For Growth

Don't hack custom scripts or use half-baked tools. SQLMesh ensures accurate and efficient data pipelines with the most complete DataOps solution for transformation, testing, and collaboration.
Data Scientists
Data Engineers
Analytics Engineers
Data Analysts
Data Analysts
Analytics Engineers
Data Engineers
Data Scientists
Data Analysts
Analytics Engineers
Data Scientists
Data Engineers
Define With Semantic Understanding
Define With Semantic Understanding
SQLMesh validates your SQL as you write it. Environment-aware column-level lineage makes it easy to understand the logic behind your tables.
Validate With Zero-Cost Environments
Validate With Zero-Cost Environments
Never rebuild a table again with Virtual Data Environments while avoiding surprises in production with full end-to-end data previews.
Collaborate Effortlessly
Collaborate Effortlessly
SQLMesh makes it easy to understand your teammate's changes and their downstream impact with our open source CI/CD bot and Automated Data Contracts.
Deploy Instantly
Deploy Instantly
Enjoy being able to finally promote development tables to production with built-in data consistency enforcement and automatic data-gap prevention.
Cutting-edge AI Products
Reliable Core Datasets
Production-grade Pipelines
Trustworthy Dashboards
Cutting-edge AI Products
Reliable Core Datasets
Production-grade Pipelines
Trustworthy Dashboards
Cutting-edge AI Products
Reliable Core Datasets
Production-grade Pipelines
Trustworthy Dashboards

Trusted By

Semantic Understanding

SQLMesh actually understands the SQL you write and improves developer productivity by finding issues at compile time. Built-in column-level lineage provides a deeper understanding of your data model and transpilation makes it easy to run your SQL across multiple engines.

Virtual Data Environments

Virtual Data Environments empower your data team to create dynamic representations of your data while ensuring tables are never built more than once. Unit tests, Audits, and Data Diff provide validation throughout your development workflow to make it easy to trust the datasets you produce.

Effortless Collaboration

Automated data contracts connect your entire data organization and make it easy to evolve together without data consistency issues. Open source CI/CD bot tells reviewers exactly what is changed in a given environment which reduces the overhead to reviewing a change.

Quality Deployments

Have confidence in the data you ship to production by deploying what has been validated and leveraging SQLMesh's automatic data-gap prevention. Even when mistakes do happen, SQLMesh seamlessly rolls back to the prior version allowing teams to reduce downtime in production.

SQLMesh UI

SQLMesh comes with a UI. You can develop your SQL, view lineage and dependencies, and manage your workflows. It's completely free and included in our open source package.

Works With The Tools You Use Today

Extensible at its core, we continue to add integrations. Join our community to help us shape our roadmap or make a contribution yourself!

Built By Data Leaders From

Learn more about our team: Tobiko

Resources

Get started
Learn what SQLMesh is and how you can get started quickly.
Documentation
Learn how to use SQLMesh with our documentation.
Community
Interact with the SQLMesh community. Ask questions, suggest improvements, and be productive.