Compare - Endgame VS Google Cloud Dataflow
Here’s the difference between Endgame and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Endgame
Provider of the customer observability platform to enterprises. The platform enables members to analyze real time data signals from different data sources such as product adoption, user behavior, transactional data, etc, and take immediate action on it. It allows members to understand the behavior of users, identify opportunities, and improve the performance of the reps by showing them the prospects and opportunities with the strongest signals.
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.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | PLG CRM | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Free trial | Freemium |
| Location | Los Angeles, US | US |
| Companies using it | ||
| Contact info |
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