Here’s the difference between dbt and Streamlit. 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.
The fastest way to build and deploy data apps. Streamlit is the first app framework built specifically for Machine Learning and Data Science teams.
Overview | ||
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Categories | Data Modelling and Transformation | Data Apps |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Free Trial |
Location | US | San Francisco, California, United States |
Companies using it | ||
Contact info |