Here’s the difference between Datafold and Apache Hudi. 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.
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
| Overview | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Lakes |
| Stage | Early Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
| Deployment | SaaS | Open Source |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | California, US | California, US |
| Companies using it | ||
| Contact info |