Here’s the difference between Datafold and Cube. 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.
Cube is the headless business intelligence platform for accessing data from modern data stores, organizing it into consistent definitions, and delivering it to every application. Cube works with all kinds of data sources and delivers data to any BI tool or data app.
Overview | ||
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Categories | Data Quality Monitoring | Metrics Store |
Stage | Early Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | Open sourceSaaS |
Business Model | Commercial | Open Source, Commercial |
Pricing | Freemium | Freemium |
Location | California, US | San Francisco |
Companies using it | ||
Contact info |