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 | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Privacy and Governance, Data Discovery, 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 |