Compare - Preset VS Google Cloud Dataflow
Here’s the difference between Preset and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Preset
Preset provides data analytics platform for teams. It is an open-source platform that allows users to analyze and provides actionable insights about the data. Its products include Superset that enables visualize data and build dashboards to interpret and show hidden patterns from the data. It enables users to share reports and insights with teams and explore data analytics solutions. It can be integrated with Amazon RedShift, Google BigQuery, Presto and Druid.
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 | Early Stage | Late Stage |
| Target Segment | Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |
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