Argo Workflows vs AWS Step Functions
Argo Workflows
argoproj.github.ioAWS Step Functions
aws.amazon.comSide by side
| Figure | Argo Workflows | AWS Step Functions |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · IT Orchestration Software | 8.7 (#3) | 7.9 (#12) |
| Spec score · Workflow Orchestration Software | 8.6 (#9) | 7.9 (#19) |
| Integrations | The project lists Argo Events, Hera, Katib, Kedro, Kubeflow Pipelines, Netflix Metaflow, Piper, Seldon, and SQLFlow among projects that use or rely on Argo Workflows. | Service integrations connect workflows to over 200 AWS services, and AWS SDK integrations can invoke over 9,000 API actions from over 200 services. |
| Workflow design | Workflows can be modeled as task sequences or directed acyclic graphs, with each step defined as a container. | Workflows are state machines written in Amazon States Language, and the console includes a visual workflow designer called Workflow Studio. |
Plans
AWS Step Functions
- Free TierFree
- Express WorkflowsPrice not published
- Standard WorkflowsPrice not published
In their own words
Argo Workflows
Argo Workflows is a free, open-source engine for orchestrating container-based jobs on Kubernetes. Workflows can be arranged as sequential steps or as tasks linked in a directed acyclic graph, with each step running in a container. The project lists machine learning pipelines, data and batch processing, infrastructure automation, and CI/CD as use cases. Controls include loops, conditionals, retries, timeouts, suspension and resumption, cancellation, and limits on parallel work. Cron scheduling, workflow archiving, a UI for viewing and managing runs, and Prometheus metrics are included. Artifact support covers S3, Artifactory, Alibaba Cloud OSS, Azure Blob Storage, HTTP, Git, GCS, raw artifacts, and plugins. The server provides REST API support over HTTP and gRPC, with client libraries for Java, Go, Python, and TypeScript. Argo Workflows is self-hosted and can run on any Kubernetes cluster. Its listed plan costs nothing, and the official pages list no paid plans or usage limits. Administrators should configure transport security, authentication, roles, and permissions; workflow pods run as root by default unless their security context is set.
AWS Step Functions
AWS Step Functions is a cloud workflow service for coordinating AWS services and HTTPS endpoints, including SaaS applications. Workflows are state machines written in Amazon States Language, with Workflow Studio providing a visual designer. Definitions can branch, run steps in parallel, set timeouts, retry failures, and handle errors with try/catch or rollback patterns. Service integrations connect to over 200 AWS services, while AWS SDK integrations can invoke over 9,000 API actions. HTTPS endpoint integration connects directly to HTTP-based services. Distributed Map can process large datasets, including Amazon S3 data, with up to 10,000 parallel child executions in one Map Run. Execution history, CloudWatch Logs, and AWS X-Ray support review and tracing. Standard executions can run for up to one year; Express executions can run for up to five minutes. Task, state, or execution input and output is limited to 256 KiB. A Free Tier plan is listed at free indefinitely; Standard and Express plans bill usage.