Compare - Google Cloud Dataflow VS Graphext
Here’s the difference between Google Cloud Dataflow and Graphext. The comparison is based on pricing, deployment, business model, and other important factors.
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.
About Graphext
Graphext is a cloud-based analytics platform for businesses. The company offers solutions for market & customer analytics, people analytics, business insights and more. Its software tool, Tractor scrapes data from Google, Twitter, Instagram, Facebook, etc, transforms the data and analyses it using machine learning algorithms. Clients include McDonald's, Roche, Omnicom and more.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Business Intelligence (BI), Augmented Analytics |
| Stage | Late Stage | Mid Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size, SMBs |
| Deployment | SaaS | SaaSOn Prem |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Contact Sales, Freemium |
| Location | US | Madrid, Spain |
| Companies using it | ||
| Contact info |
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