Compare - Google Cloud Dataflow VS Rudderstack
Here’s the difference between Google Cloud Dataflow and Rudderstack. 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 Rudderstack
RudderStack provides open-source customer data routing and processing platform. It is an enterprise-grade customer data infrastructure for routing and processing event data from your apps and website to your data warehouse and cloud apps.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Event Tracking, Reverse ETL Tools, Customer Data Platform(CDP), ETL Tools |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Freemium, Contact Sales |
| Location | US | San Francisco, California |
| Companies using it | ||
| Contact info |
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