DBOS challenges conventional wisdom by replacing external orchestrators with PostgreSQL for durable workflow execution. This approach checkpoints program state directly in the database, eliminating the need for separate coordination servers. Most systems like Temporal and Airflow rely on central orchestration, but DBOS argues this overcomplicates what should be a simple database function.

The Postgres-backed design offers significant practical benefits. Application servers directly communicate with Postgres to execute workflows, using database locking to ensure exclusive processing. This eliminates single points of failure found in orchestrator-based systems. Scalability comes from horizontal worker scaling while availability depends on the database itself, leveraging decades of Postgres engineering research.

Workflow observability becomes straightforward through SQL queries against checkpointed data in Postgres tables. Unlike key-value stores used by external orchestrators, Postgres supports complex analytical operations natively. Security improves as all workflow data stays within the database, reducing exposure.