Here’s the difference between GoodData and dbt. The comparison is based on pricing, deployment, business model, and other important factors.
GoodData is a multi-tenant, composable data and analytics platform that can be run in a public or private cloud, allowing you to build rich analytics for your end users (e.g., employees, customers, or business partners). GoodData provides self-service analytics, low-code/no-code interfaces, embeddable data visualization, and application integration. The platform also offers a robust end-to-end pipeline, including data ingestion, preparation, and transformations.
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.
Overview | ||
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Categories | Business Intelligence (BI), Metrics Store | Data Modelling and Transformation |
Stage | Late Stage | Early Stage |
Target Segment | Mid size, Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Open Source |
Pricing | Freemium | Free trial, Contact Sales |
Location | San Francisco, U.S | US |
Companies using it | ||
Contact info |