Compare - Castor VS Apache Spark

Here’s the difference between Castor and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.

About Castor

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.

About Apache Spark

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.

Comparison Table

Overview
CategoriesData Discovery, Data Privacy and Governance, Data CatalogingData Modelling and Transformation
StageEarly StageLate Stage
Target SegmentMid sizeMid Size, Enterprise
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingContact Sales, FreemiumFreemium
LocationParis, FranceUS
Companies using it
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FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
Contact info
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