Here’s the difference between Datafold and Dagster. 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.
Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
Overview | ||
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Categories | Data Quality Monitoring | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | On PremSaaS |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium, Contact Sales |
Location | California, US | United States |
Companies using it | ||
Contact info |