dagster-slurm vs Kestra
dagster-slurm
dagster-slurm.geoheil.comKestra
kestra.ioSide by side
| Figure | dagster-slurm | Kestra |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Workflow Orchestration Software | 7.9 (#20) | 8.6 (#10) |
| Observability | Dagster can display Slurm state, logs, CPU efficiency, memory, elapsed time, and node-hours for asset runs. | Each execution exposes task status, logs, outputs, timing, metrics, a timeline and live workflow topology in the UI. |
| Support | The project directs users to GitHub Discussions for questions and how-to requests, GitHub Issues for bugs and feature requests, and Dagster Slack for broader ecosystem questions. | 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
dagster-slurm
dagster-slurm has no write-up on Specifiction yet; its figures are above.
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.