Here’s the difference between Google Data Catalog and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Google Data Catalog is a fully managed and scalable metadata management service that allows organizations to quickly discover, manage and understand all their data in Google Cloud.
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 Cataloging | Data Modelling and Transformation |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise | Mid Size, Enterprise |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |