Here’s the difference between Google BigQuery and Cube. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Cube is the headless business intelligence platform for accessing data from modern data stores, organizing it into consistent definitions, and delivering it to every application. Cube works with all kinds of data sources and delivers data to any BI tool or data app.
Overview | ||
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Categories | Data Warehouses | Metrics Store |
Stage | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | Open sourceSaaS |
Business Model | Commercial | Open Source, Commercial |
Pricing | Contact Sales | Freemium |
Location | US | San Francisco |
Companies using it | ||
Contact info |