Here’s the difference between dbt and Orchest. 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.
Orchest is an open-source, cloud-native, development environment built for data science. Orchest helps you build data pipelines, the easy way. No frameworks. No YAML. Just write Python and R code in notebooks.
Overview | ||
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Categories | Data Modelling and Transformation | Workflow Orchestration |
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 | Freemium / , Contact Sales |
Location | US | Rotterdam, Netherlands |
Companies using it | ||
Contact info |