Amazon Machine Learning vs RapidMiner: What are the differences?

Developers describe Amazon Machine Learning as "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. On the other hand, RapidMiner is detailed as "Data Science, Reimagined. Prep data, create predictive models & operationalize analytics within any business process". RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Amazon Machine Learning and RapidMiner are primarily classified as "Machine Learning as a Service" and "Data Science" tools respectively.

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, RapidMiner provides the following key features:

• Graphical user interface
• Analysis processes design
• Multiple data management methods