Here’s the difference between dbt and Castor. The comparison is based on pricing, deployment, business model, and other important factors.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
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 Modelling and Transformation | 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 | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Contact Sales, Freemium |
Location | US | Paris, France |
Companies using it | ||
Contact info |