Compare - Google Cloud Dataflow VS Selfr
Here’s the difference between Google Cloud Dataflow and Selfr. 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 Selfr
Selfr is a low-code data platform that provides all the tools you need to go from your live data sources to interactive dashboards. It replaces stitching together a cloud data warehouse, an ELT solution, a data transformation solution, a scheduler, and a BI solution.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Managed Data Stack |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMB's, Mid-Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Contact Sales |
| Location | US | New York |
| Companies using it | ||
| Contact info |
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