
Atlas
Atlas is a declarative database schema management platform that lets engineers and AI agents define their desired database state and automatically generates safe migration plans. It lints for destructive changes, supports multiple databases and ORMs, and integrates with Kubernetes and CI/CD workflows. The platform also extends to day-2 operations like backfills and data deletion, all managed as code.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Product
Problem
Manual database schema management is error-prone and risky. Engineers hand-write every ALTER TABLE statement, which leads to unreviewed destructive changes, schema drift across environments, and migration conflicts that are difficult to resolve. Legacy tools like Flyway and Liquibase require writing every migration by hand, while ORMs lack the safety checks needed for production-grade schema changes.
Solution
Atlas provides a declarative approach to database schema management, where engineers define their desired state and Atlas computes the migration plan automatically. The platform supports both declarative and versioned workflows, allowing teams to define schemas in any language or ORM and compose them like Terraform modules. Atlas plans, lints, and deploys safe migrations, blocking destructive changes that could cause data loss. It also extends beyond schema management to day-2 operations like backfills, GDPR deletion, and reports, all declared as code and verified in CI. The platform integrates with Kubernetes, GitHub workflows, and existing development ecosystems, making it a natural extension of current tooling.
Target Audience
Primary users are software engineers, platform teams, and DevOps professionals who manage database schemas in production environments, as well as AI agents that need to safely modify database structures.
Features
- Declarative schema management: define desired state, Atlas computes the migration plan automatically
- Destructive change detection: lints for data loss risks and blocks unsafe migrations before deployment
- Multi-database support: works with PostgreSQL, MySQL, SQL Server, ClickHouse, and 10+ more
- ORM and language agnostic: import schemas from any ORM or define them in SQL, HCL, or other formats
- Day-2 operations as code: backfills, data deletion, and reports written as scripts with transaction control and verification
- Kubernetes operator for automated schema deployment in cloud-native environments
- CI/CD integration: policy checks and migration testing run directly in GitHub workflows