Compare - Databricks VS Castor

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

About Databricks

Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.

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.

Comparision Table

Overview
CategoriesData Warehouses, Data LakesData Discovery, Data Privacy and Governance, Data Cataloging
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DevelopmentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemium, Contact SalesContact Sales, Freemium
LocationSan Francisco, USParis, France
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logo
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Contact info
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