Here’s the difference between Castor and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Castor is a cloud-based collaborative data discovery tool for companies. It provides a plug-and-play and collaboration tool that enable enterprises to document all the knowledge related to data within the company with lineage, data catalog, search, GDPR, & data management features. Monetizes through subscription-based pricing plans.
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 | Data Discovery, Data Privacy and Governance, Data Cataloging | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales, Freemium | Freemium |
Location | Paris, France | US |
Companies using it | ||
Contact info |