Amazon Machine Learning vs GraphLab Create: 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; GraphLab Create: Machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale. Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

Amazon Machine Learning and GraphLab Create can be categorized as "Machine Learning as a Service" tools.

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, GraphLab Create provides the following key features:

• Analyze terabyte scale data at interactive speeds, on your desktop.
• A Single platform for tabular data, graphs, text, and images.
• State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.