Compare - Datafold VS Atlan
Here’s the difference between Datafold and Atlan. The comparison is based on pricing, deployment, business model, and other important factors.
About Datafold
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.
About Atlan
Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more. Atlan has been recognized as a Gartner Cool Vendor in the inaugural report on DataOps, one of the top 3 companies globally.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Discovery, Data Cataloging |
| Stage | Early Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Free trial |
| Location | California, US | Singapore |
| Companies using it | ||
| Contact info |
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