Compare - Google Cloud Dataflow VS Osmos
Here’s the difference between Google Cloud Dataflow and Osmos. 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 Osmos
Omsos takes the pain out of cleaning messy external data and importing it into your operational systems. Empower your customers,vendors, and partners with a simple, no-code experience to upload data directly into systems without a single line of code. Or have your onboarding teams manage the process with no-code data pipelines in minutes.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | ETL Tools, No code automation |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMBs, Mid Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Freemium, Contact Sales |
| Location | US | Seattle, WA, US |
| Companies using it | ||
| Contact info |
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