Here’s the difference between Databricks and Google Data Catalog. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Google Data Catalog is a fully managed and scalable metadata management service that allows organizations to quickly discover, manage and understand all their data in Google Cloud.
Overview | ||
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Categories | Data Warehouses, Data Lakes | Data Cataloging |
Stage | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Freemium |
Location | San Francisco, US | US |
Companies using it | ||
Contact info |