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Atlas Features and Integrations

Depending on your team's needs, these features may be relevant to your evaluation.

Declarative Security & Data Management

Manage database security objects and seed data as code alongside your schema.

AI Tools Integration

AI tools like GitHub Copilot, Cursor, and Claude Code are great at writing code, but generating database migrations is a different challenge. Atlas lets AI tools focus on editing the schema while it handles migration generation, validation, policy enforcement, and testing. All commands go through Atlas's deterministic engine.

To learn more, check out the Atlas with AI Tools docs.

Testing Framework

Atlas provides a database testing framework that lets you test schemas and migrations the same way you test application code. This is especially valuable when AI agents generate schema changes: the agent edits the schema, Atlas generates a migration, and the test suite validates the result against a real database. If a test fails, the agent gets structured feedback and can fix the issue automatically.

Custom Schema Rules & Policies

Enforce naming conventions, required indexes, constraint policies, and team-specific guardrails with custom schema rules written in HCL. Control which GitHub users and teams can modify specific objects with schema ownership.

Atlas Cloud

After pushing migrations or schemas to the registry, Atlas Cloud provides visibility into your schemas and deployments.

Schema Monitoring & Drift Detection

Even with strict CI/CD, production databases sometimes drift from their expected state. Atlas Schema Monitoring detects this drift automatically and sends alerts with detailed diffs.

More Features

Need Help?

If you are evaluating Atlas for commercial use, you may be eligible for free PoC support from the Atlas team, including a dedicated Slack Connect channel.

Contact us or schedule a demo.