Argo Workflows vs Kestra
Argo Workflows
argoproj.github.io
Kestra
kestra.ioSide by side
| Figure | Argo Workflows | Kestra |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · IT Orchestration Software | 8.7 (#3) | 8.5 (#7) |
| Spec score · Workload Automation Software | 8.6 (#5) | 8.6 (#6) |
| Spec score · Workflow Orchestration Software | 8.6 (#9) | 8.6 (#10) |
| Deployment | Argo Workflows is cloud agnostic and can run on any Kubernetes cluster. | Kestra can be self-hosted with Docker or Kubernetes, and Enterprise Edition also supports cloud, on-premises and air-gapped environments. |
| 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. | The plugin catalog covers databases, warehouses, queues, cloud services, CI/CD and security tools, with more than 2,200 plugins advertised on the features page. |
| Observability | The feature list includes Prometheus metrics and a UI for visualizing and managing workflows. | Each execution exposes task status, logs, outputs, timing, metrics, a timeline and live workflow topology in the UI. |
| Scheduling | Cron-based scheduled workflows are supported. | Scheduling supports intervals, cron expressions, condition-based schedules, event triggers, HTTP triggers, webhooks and backfills. |
| Security limitation | The documentation says Argo Workflows can create arbitrary pods, and—with the workflow-restrictions feature as an exception—does not attempt to restrict or prevent this. | The gRPC worker channel is plaintext and unauthenticated by default and must be secured before use across untrusted networks. |
| Support | The project directs users with questions to GitHub Discussions and Slack and describes monthly community meetings. | Enterprise Edition includes a customer success program and enterprise support with an SLA. |
Plans
Kestra
- Open SourceFree
- Enterprise EditionPriced on request
- Kestra CloudPriced on request
- Kestra CloudPriced 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.
Kestra
Kestra is a declarative orchestration platform for building, running, and governing workflows across an organization. Workflows, called flows, are defined in YAML and can combine tasks, dependencies, conditions, triggers, and runtime parameters. Execution controls include retries, failure policies, timeouts, concurrency limits, worker assignment, and log capture. Kestra advertises more than 2,000 plugins for connecting to external tools, with examples including Airbyte, AWS, Azure, BigQuery, dbt, Docker, GitHub, Kafka, Kubernetes, Slack, Snowflake, and Terraform. A flow can orchestrate SQL, Python, shell, APIs, Terraform, dbt, Spark, and custom tools. The platform includes an MCP server for AI agents and supports exposing flows as callable tools. Teams can self-host with Docker or Kubernetes; Enterprise Edition also supports cloud, on-premises, and air-gapped environments. Setup instructions cover macOS, Windows, and Linux, alongside web and API platforms. Kestra Cloud advertises up to two months free during team setup. The Open Source and Enterprise Edition plans have no price listed.