Here’s the difference between dbt and PipeRider. 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.
With PipeRider you can profile your data sources, create highly customizable data quality assertions, and generate insightful reports. It allows you to define the shape of your data once, and then use the data checking functionality to alert you to changes in your data quality.
Overview | ||
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Categories | Data Modelling and Transformation | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMB's, Mid-Size |
Deployment | SaaS | Open Source |
Business Model | Open Source | Open Source |
Pricing | Free trial, Contact Sales | Freemium |
Location | US | Taipei City, Taiwan |
Companies using it | ||
Contact info |