Compare - Google Cloud Dataflow VS Quicktable
Here’s the difference between Google Cloud Dataflow and Quicktable. The comparison is based on pricing, deployment, business model, and other important factors.
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.
About Quicktable
QuickTable empowers everyone to access, clean, analyze, transform, and model data with no code. It is is a modern data modeling and transformation tool on top of your existing data sources to let you work with data using a spreadsheet-like interface. It makes your data work easy.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Spreadsheet based BI |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMB's, Mid-Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Free Trial, Contact Sales |
| Location | US | Singapore |
| Companies using it | ||
| Contact info |
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