Explore Atlas features beyond the basics: database security as code, AI agent integration with GitHub Copilot and Claude Code, schema and migration testing, custom linting rules, schema ownership policies, column-level lineage, drift detection, multi-tenant support, and environment promotion.
Connect Atlas to your database using a standard URL format. Examples for PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, ClickHouse, Oracle, Snowflake, Spanner, Databricks, and more.
Set up database CI/CD with Atlas: automatically lint and validate schema changes on every pull request, push approved migrations to the Schema Registry, and deploy to production via GitHub Actions, GitLab CI, Kubernetes, Terraform, ArgoCD, and more.
A step-by-step guide for evaluating Atlas as your database schema management tool. Covers installation, schema-as-code, developer workflow, CI/CD, deployment, monitoring, and more.
Day-to-day Atlas workflow for both versioned and declarative migrations: edit your schema, generate or plan a migration, review the SQL, and apply it to your database.
Set up your Atlas migration workflow: versioned migrations with baseline creation, or declarative state-based migrations. Includes importing from Flyway, Liquibase, and other tools.
Export your database schema to HCL or SQL code, configure a dev database, and verify Atlas produces a zero-diff against your live database.