Here’s the difference between Argo and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition).
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
| Overview | ||
|---|---|---|
| Categories | Workflow Orchestration | Data Modelling and Transformation |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
| Deployment | On Prem | On Prem |
| Business Model | Open Source | Open Source |
| Pricing | Freemium | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |