Compare - Transform Data VS Google Cloud Dataflow
Here’s the difference between Transform Data and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Transform Data
Transform data is the provider of the data analytics and visualization software solution. It provides a centralized metrics store that enables metrics definitions in code with the supports of life-cycle management. It also provides solutions such as data analytics & visualization, data storage & computing, metrics stores from data sources, 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 | Metrics Store | 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 | California, US | US |
| Companies using it | ||
| Contact info |
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