Apache DolphinScheduler vs Argo Workflows (2026): which should you pick?
As of Nov 13, 2026, Apache DolphinScheduler and Argo Workflows share a 2.4 GPA, both are free, so the choice depends on which features you need.
Checked Nov 13, 2026 · graded Nov 13, 2026 by ToolGPA
They get the same grade on all five counts.
Price, platforms and features side by side. The table says where each price was read and when.
Apache DolphinScheduler
Open-source workflow scheduler for data pipelines
Argo Workflows
Open-source container-native workflow engine for Kubernetes
Which one is for you
Pick Apache DolphinScheduler if
- Fits if your team already runs batch and data jobs on its own servers
- Works for engineers who want a scheduler with workflow dependencies and an API
Look elsewhere if
- Skip it if you don't want to host software, since there's no hosted edition
- Not for you if you need paid support, as help comes from GitHub issues and mailing lists
- Too light on hand-holding for non-technical people: it's aimed at data and batch work, not no-code app automation
- Watch out: the project's main page is a docs site, so we read little beyond the listing
Pick Argo Workflows if
- Fits if you already run Kubernetes and want container pipelines
- Works for platform teams who write workflows as code in YAML or Python
Look elsewhere if
- Skip it if you don't run Kubernetes, because it needs a cluster
- Not for you if you want vendor support, as help comes from the community
- Too light on hand-holding for non-engineers, since workflows are written as Kubernetes resources
- Watch out: the docs page would not load for us, so this card rests on the listing
How we grade them
| 2.4GPAApache DolphinSchedulerFair | 2.4GPAArgo WorkflowsFair | |
|---|---|---|
| Value for money | C$0 under an Apache 2 licence, but it's software you host yourself, which needs a server. That puts it in the middle. | C$0 for the software, but you run it on your own Kubernetes cluster, which isn't free. That puts it in the middle. |
| Free plan and trial | BFree software with no paid tier at all. It costs nothing but the machines you run it on. | BOpen source with no paid tier, so you pay only for the cluster. |
| Features | BDrag-and-drop workflows, a Python SDK, an open API, versioning, many task types and multi-tenancy. The core job is covered. | BSteps, DAGs, templates, cron workflows, artifacts, retries, loops and access control. The core job is covered. |
| Ease of use | DNo store rating on record. You install and operate the platform yourself. | DNo store rating on record. It needs a Kubernetes cluster and YAML definitions. |
| Platforms and integrations | BWeb interface, with a Python SDK and open API, and 7 integrations. | BA web UI, with a Python SDK through Hera and 6 integrations. It runs on Kubernetes. |
| Best for | scheduling data workflows you host yourself | running container jobs as workflows on Kubernetes |
The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Apache DolphinScheduler and Argo Workflows. How we grade
Price against what you get
Apache DolphinScheduler has no paid plan and scores 2.3 out of 4 on features, ease of use and platforms. Argo Workflows has no paid plan and scores 2.3.
On this chart the two sit in the same place: the same score for the same starting price. Of the other automation tools on the chart, none scores higher than Apache DolphinScheduler for less, and none scores higher than Argo Workflows for less.
Features, ease of use and platforms, averaged
What paid plans start at, a month (each step along is roughly double) →
- The best score at each price
- Has a free plan
- No free plan
Where they differ
At a glance
| Apache DolphinScheduler | Argo Workflows | |
|---|---|---|
| Pricing | Free | Free |
| Starts at | Free | Free |
| Free plan | None | None |
| Free trial | None listed | None listed |
| Web | ||
| Made by | The Apache Software Foundation | Argo Project Authors |
| Price read from | github.com | argo-workflows.readthedocs.io |
| Checked | Nov 13, 2026 | Nov 13, 2026 |
Worth knowing
Apache DolphinScheduler
- It is self-hosted software with no hosted edition listed on the project pages, so your team installs and runs it.
- The project page is a documentation site; support comes through GitHub issues and mailing lists, not a paid plan.
- It is aimed at data and batch workflows, not at no-code app-to-app automation for non-technical users.
Argo Workflows
- It needs a Kubernetes cluster; the project describes itself as a Kubernetes-native engine, not a hosted service.
- The project pages list no paid plan or vendor support; help comes from the community.
- Workflows are written as Kubernetes resource definitions, which assumes comfort with containers and YAML.
Key features
Apache DolphinScheduler
- Drag-and-drop workflow editor
- Workflows are created and managed in a web interface by drag and drop, with a tree view that shows how tasks depend on each other.
- Python SDK and open API
- Besides the web interface, workflows can be defined with a Python SDK or managed through the project's open API.
- Multi-master, multi-worker design
- The architecture is decentralized with several masters and workers, and the project says it scales horizontally.
- Versioning and state control
- Workflows and individual workflow instances are versioned, and runs can be paused, stopped, recovered or backfilled from the web interface.
- Built-in task types and data sources
- A range of task types ships with the product, and data sources such as MySQL, PostgreSQL, Hive and Trino can be connected.
- Multi-tenancy and permissions
- The project lists multi-tenancy and permission control by project and data source.
Argo Workflows
- Container-per-step workflows
- Every step in a workflow is a container, and the engine runs them as Kubernetes pods on any cluster.
- Steps and DAGs
- Multi-step workflows can be written as an ordered sequence of tasks or as a directed acyclic graph that captures dependencies between tasks.
- Templates and cron workflows
- The docs list workflow templates, cluster workflow templates and cron workflows as custom resource kinds for reusing and scheduling work.
- Artifacts, retries and loops
- The user guide covers artifacts, parameters, loops, conditionals, retries, timeouts, exit handlers and suspending a running workflow.
- Access control
- Documentation covers service accounts and role-based access control for workflows.
- Python SDK through Hera
- The project points Python users to the Hera Python SDK for defining Argo workflows.
Plans
Apache DolphinScheduler
Open source$0
Apache 2 licensed software you host yourself. The project lists no paid plans or hosted service.
Argo Workflows
Open source$0
Free software you install and run on your own Kubernetes cluster. The project pages list no paid plans.
Common questions
Which is cheaper, Apache DolphinScheduler or Argo Workflows?
As of Nov 13, 2026, both Apache DolphinScheduler and Argo Workflows are free to use.
Which has a free plan, Apache DolphinScheduler or Argo Workflows?
As of Nov 13, 2026, both Apache DolphinScheduler and Argo Workflows have a free plan.
More comparisons
How this page was made
- The verdict at the top follows a fixed rule. When both tools are in the same category and either is in our top three for it, the verdict follows that ranking: the higher-placed tool is our pick. The top three weigh who each tool suits as well as its grades, so a pick can go against the GPA. Otherwise the page does not pick one and says which grades higher: the higher GPA first; on a tie, the one with a free plan, then the one that starts cheaper in dollars a month, counted the same way for both; if they are still level, what the choice depends on.
- The grades are our own, from each tool’s review or report card. The GPA is their average.
- Prices, plans and platforms come from each tool’s listing. The table above says where each price was read and when.
- The differences and the answers to the questions are worked out from those listings.