Compare - Metaphor VS Google Cloud Dataflow
Here’s the difference between Metaphor and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Metaphor
Metaphor is a search and discovery tool built for data scientists, data engineers, and AI practitioners. It aims to help all organizations better understand and manage their data through the power of the metadata knowledge graph.
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 Discovery, Data Cataloging | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales, Free trial | Freemium |
| Location | US | US |
| Companies using it |  | |
| Contact info |
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