Azure Durable Functions vs Hatchet

Azure Durable Functions has no write-up on Specifiction yet; its figures are above.

Hatchet is a developer platform for building and deploying AI agents, durable workflows, and background tasks. It persists tasks and agent invocations so teams can debug, retry, and replay execution. Workflow controls include automatic retries, scheduled and cron runs, event and webhook triggers, concurrency settings, priorities, and rate limits. SDKs are documented for Python, TypeScript, Go, and Ruby. Hatchet provides real-time workflow and task monitoring, a built-in OpenTelemetry collector, and searchable application logs. Its orchestration engine runs through Hatchet Cloud or can be self-hosted, while workers run on customer infrastructure. Embedded mode supports local development and CI without an account or Docker; CLI, Docker Compose, and Kubernetes options are also available. The Pay-as-you-go plan starts at free, including 1M runs and 1M events per month; usage beyond those amounts is billed at $30 per million runs and $5 per million events. SOC 2 Type II is included on every listed tier. Hatchet says that tasks are dropped and new task creation returns errors when a free-tier limit is exceeded.