Here’s the difference between Feast and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
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 | Feature Store | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Open Source | Open Source |
Pricing | Free trial | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |