Compare - Google Cloud Dataflow VS Noteable
Here’s the difference between Google Cloud Dataflow and Noteable. 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 Noteable
Noteable offers a cloud-based, collaborative, and secure notebook solution with enterprise-ready features including a large set of flexible deployment options. Its modern UI with native SQL support and no-code visualizations empowers non-traditional users to work with data in new ways.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Workspace/ Collaboration |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid-Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Contact Sales |
| Location | US | San Francisco, CA |
| Companies using it | ||
| Contact info |
Add to compare
