Compare - Google Cloud Dataflow VS 5X
Here’s the difference between Google Cloud Dataflow and 5X. 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 5X
5X is an end to end data platform built on top of the best in class vendors of the modern data stack. 5x lets you work with the best vendors of the modern data stack without worrying about signing different enterprise contracts or stitching them together. Companies using 5x are able to deploy end to end data platforms in minutes not months.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Managed Data Stack |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Contact Sales |
| Location | US | Singapore |
| Companies using it | ||
| Contact info |
Add to compare
