Compare - Google Cloud Dataflow VS Arctype
Here’s the difference between Google Cloud Dataflow and Arctype. 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 Arctype
Arctype is a fast, beautiful database GUI for developers and teams. With SQL autocomplete, spreadsheet-style editing, one-click visualizations, collaboration, and the best support for Postgres, MySQL, and PlanetScale - you'll finally love working with your DB.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Workspace/ Collaboration |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid Size |
| Deployment | SaaS | Cloud |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Tiered Pricing Plans |
| Location | US | San Francisco, USA |
| Companies using it | ||
| Contact info |
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