Compare - Coginiti VS Google Cloud Dataflow
Here’s the difference between Coginiti and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Coginiti
Coginiti provides integrated analytics management tools powering collaboration between data engineers and business analysts. It couples ad-hoc data ingestion, data query, and discovery with the analytics catalog to enable companies create, share, and reuse SQL analytics.
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.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Workspace/ Collaboration | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | Enterprise, Mid size, SMBs | Enterprise, Mid size |
| Deployment | On Prem | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Free trial, Contact Sales | Freemium |
| Location | California, US | US |
| Companies using it |  | |
| Contact info |
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