Compare - Google Cloud Dataflow VS Octolis
Here’s the difference between Google Cloud Dataflow and Octolis. 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 Octolis
Provider of the customer data platform. The platform offers software to unify, score and synchronize customer data. It allows members to understand the customer base, normalize data, manage the data life cycle, create a calculated field for better targeting.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Reverse ETL Tools |
| 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 | Paris, France |
| Companies using it | ||
| Contact info |
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