Apache DolphinScheduler vs dagster-slurm
Apache DolphinScheduler
dolphinscheduler.apache.orgdagster-slurm
dagster-slurm.geoheil.comSide by side
| Figure | Apache DolphinScheduler | dagster-slurm |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Workflow Orchestration Software | 8.9 (#5) | 7.9 (#20) |
| Support | The homepage directs users to documentation, quick starts, and a community mailing list for updates. | 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. |
Plans
Apache DolphinScheduler
- Apache DolphinSchedulerFree
- Open sourceFree
In their own words
Apache DolphinScheduler
Apache DolphinScheduler is a free, open-source workflow orchestration platform for designing and running data workflows through visual directed-acyclic-graph interfaces or code. Workflows can be built with drag-and-drop tools or defined in Python, YAML, or the Open API. The project lists more than 30 task types, including Shell, SQL, Spark, Flink, Hive, Kubernetes, and HTTP. Scheduling supports cross-project and cross-workflow dependencies, pause and resume operations, and serial or parallel batch backfills. A decentralized multi-master, multi-worker design is described as increasing scheduling capacity with cluster size. Deployment options are standalone, cluster, and Kubernetes. Standalone is for evaluation, recommended for fewer than 20 workflows, and its in-memory H2 database is cleared when the service stops or restarts. Authentication includes password, LDAP, Casdoor SSO, and OAuth2, with administrator-managed resource controls. The security model assumes a trusted network.
dagster-slurm
dagster-slurm has no write-up on Specifiction yet; its figures are above.