Prompt
I'm building a multi-step data workflow with retries and alerts, what should I use?
Latest observation
For a multi-step data workflow with retries and alerts, you generally want a workflow orchestrator rather than a simple scheduler.
Good options:
- Apache Airflow — best-known choice for data pipelines, retries, dependencies, alerting, and scheduling
- Prefect — easier developer experience, good retries/state handling, flexible alerts
- Dagster — strong for data assets, testing, observability, and complex pipelines
- AWS Step Functions / Azure Durable Functions / Google Workflows — great if you’re fully in one cloud and want managed orchestration
If your workflow is:
- Data engineering / ETL / ELT → Airflow, Dagster, or Prefect
- Serverless cloud-native → Step Functions or equivalent managed service
- Simple cron + scripts → a scheduler may be enough, but it won’t be as robust for retries/alerts
My quick recommendation
- If you want the most established and widely used: Apache Airflow
- If you want something more modern and easier to develop with: Prefect
- If you want strong data-modeling and asset tracking: Dagster
If you want, I can help you choose based on your stack, cloud, and scale.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
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