Azure Durable Functions vs Google Cloud Workflows

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

Google Cloud Workflows is a managed orchestration platform for running Google Cloud services, custom services, and HTTP APIs in a chosen sequence. Workflow definitions use YAML or JSON and can combine ordered steps with conditions, loops, parallel work, and reusable subworkflows. Start an execution manually, through client libraries or REST, or on a schedule with Cloud Scheduler. Connectors link workflows to Google Cloud APIs such as Pub/Sub, Firestore, and Secret Manager, while workflow steps can also call custom or private HTTP and HTTPS endpoints. Reliability features include retries, polling, error handling, callbacks, and waits of up to one year. A single execution can run up to 100,000 steps and last no more than one year. IAM controls access; Secret Manager can store and retrieve secrets. Cloud Logging and Cloud Monitoring surface execution logs, volume, errors, and duration. Pricing is based on executed steps, including failed and retried steps, while idle workflows incur no charges. The free plan includes 5,000 internal and 2,000 external steps; paid usage starts at $0.01 per month, with rates that vary by step type and volume.