Here’s the difference between dbt and Cube. The comparison is based on pricing, deployment, business model, and other important factors.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
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 Modelling and Transformation | Metrics Store |
Stage | Early Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | Open sourceSaaS |
Business Model | Open Source | Open Source, Commercial |
Pricing | Free trial, Contact Sales | Freemium |
Location | US | San Francisco |
Companies using it | ||
Contact info |