Compare - Google Data Catalog VS Google Cloud Dataflow
Here’s the difference between Google Data Catalog and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Google Data Catalog
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.
About Google Cloud Dataflow
Google Cloud Dataflow is a cloud-based data processing service for both batch and real-time data streaming applications. It enables developers to set up processing pipelines for integrating, preparing and analyzing large data sets, such as those found in Web analytics or big data analytics applications. The Cloud Dataflow software expands on earlier Google parallel processing projects, including MapReduce, which originated at the company. Cloud Dataflow is designed to bring to entire analytics pipelines the style of fast parallel execution that MapReduce brought to a single type of computational sort for batch processing jobs.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Cataloging | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
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