Workflow Engine Alternatives
When should I keep using my existing workflow engine instead of Catalyst?
You should keep using your existing workflow engine when it fully meets your current non-agentic workload requirements. Catalyst delivers meaningful additional value for long-lived, probabilistic agent workloads, while established workflow engines excel at their core standard use cases like internal data pipelines or formal business process management workflows. A phased, gradual migration strategy can help ease a smooth transition if you later decide to adopt Catalyst over the long term.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Workflow Engine Alternatives
How does Diagrid Catalyst compare to Apache Airflow for AI agent workflows?
Compare Diagrid Catalyst and Apache Airflow, exploring their core design goals and suitability for production AI agent workloads.
- Workflow Engine Alternatives
How does Diagrid Catalyst differ from Prefect for AI agent deployments?
Compare Diagrid Catalyst and Prefect, exploring their core design goals and suitability for production AI agent workloads.
- Workflow Engine Alternatives
How does Diagrid Catalyst compare to Argo Workflows for AI agents?
Learn the key differences between Diagrid Catalyst and Argo Workflows, including their intended use cases for production AI agent deployments.