Here’s the difference between Metabase and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
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.
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
Overview | ||
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Categories | Business Intelligence (BI) | Data Warehouses |
Stage | Mid Stage | Late Stage |
Target Segment | Mid size, Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | San Francisco, US | US |
Companies using it | ||
Contact info |