Here’s the difference between dbt and Sifflet. 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.
You make important business decision based on data. Sifflet ensures the data is reliable, traceable and easy to navigate.
Overview | ||
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Categories | Data Modelling and Transformation | Data Quality Monitoring |
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 | Custom, Usage based |
Location | US | Paris, France |
Companies using it | ||
Contact info |