Here’s the difference between dbt and Continual. 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.
Continual is the missing AI layer for the modern data stack. Get continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.
Overview | ||
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Categories | Data Modelling and Transformation | Feature Store |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Contact Sales |
Location | US | San Francisco, California |
Companies using it | ||
Contact info |