Here’s the difference between dbt and Lightdash. 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.
Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.
Overview | ||
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Categories | Data Modelling and Transformation | Metrics Store, Business Intelligence (BI) |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, SMBs |
Deployment | SaaS | Open source |
Business Model | Open Source | Open Source |
Pricing | Free trial, Contact Sales | Freemium |
Location | US | UK |
Companies using it | ||
Contact info |