Amazon Machine Learning vs Clearbit

Amazon Machine Learning vs Clearbit: What are the differences?

Amazon Machine Learning: Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology. This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure; Clearbit: APIs for determining who's behind an email address. Clearbit builds business intelligence APIs. Retrieve social data from emails and look up company information from domains.

Amazon Machine Learning belongs to "Machine Learning as a Service" category of the tech stack, while Clearbit can be primarily classified under "Customer Information API".

Some of the features offered by Amazon Machine Learning are:

• Easily Create Machine Learning Models
• From Models to Predictions in Seconds
• Scalable, High Performance Prediction Generation Service

On the other hand, Clearbit provides the following key features:

• Social lookup
• Company lookup
• Watchlist lookup

StackShare, AppDynamics, and Glu IO are some of the popular companies that use Clearbit, whereas Amazon Machine Learning is used by Apli, Cymatic Security, and FetchyFox. Clearbit has a broader approval, being mentioned in 15 company stacks & 9 developers stacks; compared to Amazon Machine Learning, which is listed in 9 company stacks and 10 developer stacks.