Here’s the difference between Castor and Flyte. 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.
Flyte provides a cloud-based machine learning and data processing platform. The open source structured programming and distributed solution enables concurrent, scalable and maintainable workflows for machine learning and data processing. Uses protocol buffers as the specification language to specify these workflows and tasks.
Overview | ||
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Categories | Data Discovery, Data Privacy and Governance, Data Cataloging | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid size |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales, Freemium | Freemium |
Location | Paris, France | US |
Companies using it | ||
Contact info |