Compare - Redash VS Google Cloud Dataflow
Here’s the difference between Redash and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Redash
Redash provides a web-based/ On-premise data visualization platform for enterprises enabling them to connect any data sources, pull out information, analyze and visualize data. The platform features are query, visualize, collaborate, interactive, centralized data, quick setup, and alerts. Some of the customers are Cloudflare, nextpeer, Fundbox, interlude, outbrain, gogobot, etc.
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 | Business Intelligence (BI) | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Mid size, Enterprise | Enterprise, Mid size |
| Deployment | SaaSOn Prem | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Free trial | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
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