Running Durable Workflows in Postgres using DBOS
DBOS, a joint research project between Stanford and MIT, integrates with Postgres to create a durable workflow engine. It leverages Postgres's features to offer lightweight and efficient performance, ensuring robust management of workflow steps and state recovery. The platform supports serverless functions in Python and TypeScript, using Postgres to maintain state, handle errors, and provide features like idempotency and transactional guarantees, offering significant performance advantages over other workflow engines.