Compare - Google Cloud Dataflow VS Snowplow
Here’s the difference between Google Cloud Dataflow and Snowplow. 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 Snowplow
Snowplow is a provider of digital analytics for multiple platforms. It identifies users and tracks the way they engage with websites, applications, or IoT. It stores user's behavioral data in a scalable event data warehouse which can be plugged in with any analysis tool to crunch that data including big data toolsets, traditional BI tools, statistical and graphical tools. It enables to join web analytics and other snowplow event data with third-party data sources such as marketing data sets, customer data sets. The clients of the company include weebly, THE ICONIC, Unsplash, etc.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Event Tracking |
| Stage | Late Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Mid size, Enterprise |
| Deployment | SaaS | Open source |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | US | London, England |
| Companies using it | ||
| Contact info |
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