Here’s the difference between Datafold and Castor. The comparison is based on pricing, deployment, business model, and other important factors.
Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.
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.
Overview | ||
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Categories | Data Quality Monitoring | Data Discovery, Data Privacy and Governance, Data Cataloging |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales, Freemium |
Location | California, US | Paris, France |
Companies using it | ||
Contact info |