Compare - Google Cloud Dataflow VS Query.me
Here’s the difference between Google Cloud Dataflow and Query.me. 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 Query.me
Query.me is SQL notebooks that give you a flexible canvas for all the different use cases and skill levels you need to serve - from executives to power users.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Business Intelligence (BI) |
| Stage | Late Stage | Early stage |
| Target Segment | Enterprise, Mid size | SMBs, Mid size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Free Trial |
| Location | US | Germany |
| Companies using it | ||
| Contact info |
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