Here’s the difference between Datafold and Lightdash. The comparison is based on pricing, deployment, business model, and other important factors.
Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.
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 Quality Monitoring | Metrics Store, Business Intelligence (BI) |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, SMBs |
Deployment | SaaS | Open source |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium |
Location | California, US | UK |
Companies using it | ||
Contact info |