Here’s the difference between Databricks and Metabase. 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.
Metabase is an analytics and reporting tool for enterprises. It enables users to process data without any coding, access records and manage to explore the relationship between the data, analyze and visualize data in the form of charts and graphs. It also provides a dashboard where teams can collaborate and share insights from the data. It can be integrated with MySQL, Postgres, Mongo, SQL Server, Oracle and Google Analytics. Customers include Hoodline, TREEBO, Expo and Go Jek.
|Categories||Data Warehouses, Data Lakes||Business Intelligence (BI)|
|Stage||Late Stage||Mid Stage|
|Target Segment||Enterprise, Mid size||Mid size, Enterprise|
|Business Model||Commercial||Open Source|
|Pricing||Freemium, Contact Sales||Freemium|
|Location||San Francisco, US||San Francisco, US|
|Companies using it|