Here’s the difference between dbt and Elementary Data. 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.
Elementary is an open-source data observability framework for modern data teams, starting with data lineage.
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 |
Deployment | SaaS | Open Source |
Business Model | Open Source | Open Source |
Pricing | Free trial, Contact Sales | Freemium |
Location | US | US |
Companies using it | ||
Contact info |