Compare - Google Cloud Dataflow VS Husprey
Here’s the difference between Google Cloud Dataflow and Husprey. 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 Husprey
Husprey aims at providing data teams with an integrated workspace where they can best accomplish their mission. It has build a top-notch collaborative interface and leverage the latest Modern Data Stack technologies. Data and decisions are finally gathered in elegant data analytics notebooks.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Workspace/ Collaboration |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMB's, Mid-Size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Free Trial |
| Location | US | Lyon, FR |
| Companies using it | ||
| Contact info |
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