Compare - data.world VS Google Cloud Dataflow
Here’s the difference between data.world and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About data.world
data.world makes it easy to get clear, accurate, fast answers to any business question. Our cloud-native data catalog maps your siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand, and use. data.world is an Austin-based Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community. Visit data.world for more information and expert guidance.
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 | Mid size, Enterprise | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium, Contact Sales | Freemium |
| Location | Texas, US | US |
| Companies using it | ||
| Contact info |
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