Here’s the difference between Orchest and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Orchest is an open-source, cloud-native, development environment built for data science. Orchest helps you build data pipelines, the easy way. No frameworks. No YAML. Just write Python and R code in notebooks.
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 | ||
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Categories | Workflow Orchestration | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid Size, Enterprise | Mid Size, Enterprise |
Deployment | Open Source | On Prem |
Business Model | Commercial | Open Source |
Pricing | Freemium / , Contact Sales | Freemium |
Location | Rotterdam, Netherlands | US |
Companies using it | ||
Contact info |