Talk Structure: "Beyond Your ORM's Migration Tool"

1. Introduction – Why ORMs Build Migration Tools
   - ORMs like SQLAlchemy and Django ORM simplify database interactions and include migration tools (e.g., Alembic, Django Migrations) for schema changes.
   - These tools are robust for ORM-defined schemas but lack advanced features and native CI/CD integrations.

2. Where Built-in Tools Fall Short
   - ORM migration tools focus on basic schema changes but don’t support advanced database objects like triggers, materialized views, or stored procedures.
   - Lack native integration with modern CI/CD tools, leaving teams to implement custom, often suboptimal solutions.

3. Presenting Atlas – Bridging the Gap
   - Atlas complements ORM tools by reading their schemas (e.g., Django models, SQLAlchemy models) and enabling advanced extensions.
   - Key features:

   • Support for triggers, materialized views, and other advanced objects.
   • Native CI/CD integration for automating and validating schema changes.

4. How Atlas Integrates with ORMs
   - Atlas reads ORM-defined schemas and enhances them with advanced features.
   - Combines ORM workflows with Atlas’s robust schema management capabilities, enabling automation and database-specific optimizations.

5. Demo – Atlas in Action
   - Example: A Django project adds a materialized view and a trigger using Atlas.
   - Steps:

   • Use Atlas to read the ORM schema and extend it with advanced features.
   • Automate migration validation and deployment through CI/CD pipelines.
   • Outcome: Simplified and automated schema management with modern tooling.

6. Conclusion and Q&A
   - Key Takeaways:

   • ORM migration tools like Alembic and Django Migrations are great for standard use cases but fall short for advanced workflows and CI/CD integration.
   • Atlas bridges this gap, enabling automation and advanced database features.
   • Call to Action: Try Atlas to enhance schema workflows.
   • Q&A: Open floor for questions.