Argo Workflows vs Composer by Orchestral
Argo Workflows
argoproj.github.io
Composer by Orchestral
orchestral.aiSide by side
| Figure | Argo Workflows | Composer by Orchestral |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 2 |
| Spec score · IT Orchestration Software | 8.7 (#3) | 7.6 (#16) |
| Deployment | Argo Workflows is cloud agnostic and can run on any Kubernetes cluster. | The FAQ describes a typical high-availability setup using two Linux virtual machines running Ubuntu 18 or CentOS 8. |
| 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. | Orchestral states that more than 450 integrations are available, with pricing and SKU details available from its Client Development Team. |
| Purpose | Argo Workflows is an open-source, container-native engine for orchestrating parallel jobs on Kubernetes. | Composer is an event-driven workflow automation and orchestration platform based on StackStorm that automates operations across large-scale hybrid cloud infrastructure. |
| Workflow design | Workflows can be modeled as task sequences or directed acyclic graphs, with each step defined as a container. | Its drag-and-drop Workflow Design Studio lets users build complex cross-domain workflows. |
Plans
Composer by Orchestral
- Enterprise Level SupportPriced on request
- PremierPriced on request
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.
Composer by Orchestral
Composer by Orchestral has no write-up on Specifiction yet; its figures are above.