Apache Airflow lets users author, schedule, and monitor workflows programmatically.
Open source
24 alternativesHow do Argo Workflows and Spark compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Argo Workflows | Spark |
|---|---|---|
| What it is | Use Argo Workflows to programmatically define, schedule, and execute workflows on Kubernetes. | Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Web |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Sites similar to both Argo Workflows and Spark.
Apache Airflow lets users author, schedule, and monitor workflows programmatically.
Argo provides a workflow engine for running and coordinating jobs on Kubernetes clusters.
Docker Hub is a container image registry for developers to find, use, and share container images.
The Volcano project provides cloud native batch scheduling software within the CNCF ecosystem.
Luigi provides Python tools for building batch job pipelines with dependency and workflow management.
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