Here’s the difference between Datafold and Apache Spark. 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.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
| Overview | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Modelling and Transformation |
| Stage | Early Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |