Here’s the difference between Google Cloud Dataflow and y42. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Cloud-based no-code predictive analytics software solution provider. It provides a no-code business intelligence platform that offers data-driven decisions making, data preparation for analysis & automation, built-in data visualization, data sharing & workflow automation, etc. Industries using the solution are e-commerce, agencies, B2B SaaS companies, etc.
Overview | ||
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Categories | Data Streaming | Business Intelligence (BI), Managed Data Stack |
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 | Berlin, Germany |
Companies using it | ||
Contact info |