Compare - Google Cloud Dataflow VS &facts
Here’s the difference between Google Cloud Dataflow and &facts. 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 &facts
&facts simplify the process and empower you, the e-commerce business owner, to understand what is happening in your market and sell more products.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Business Intelligence (BI) |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMBs, Mid-size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Free trial |
| Location | US | Birmingham |
| Companies using it | ||
| Contact info |
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