Compare - Metabase VS Google Cloud Dataflow
Here’s the difference between Metabase and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Metabase
Metabase is an analytics and reporting tool for enterprises. It enables users to process data without any coding, access records and manage to explore the relationship between the data, analyze and visualize data in the form of charts and graphs. It also provides a dashboard where teams can collaborate and share insights from the data. It can be integrated with MySQL, Postgres, Mongo, SQL Server, Oracle and Google Analytics. Customers include Hoodline, TREEBO, Expo and Go Jek.
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 | SaaS | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Freemium | Freemium |
| Location | San Francisco, US | US |
| Companies using it | ||
| Contact info |
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