KNIME Analytics Platform is a software application that enables the creation and analysis of data-driven workflows, or pipelines, within the KNIME platform. The software was originally developed by researchers at the University of Konstanz in Germany, but is now available under an open source licence. 

The software offers a number of platform-specific features:

Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.

It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.

IBM Watson Analytics is a data visualisation and predictive analytics service that uses artificial intelligence techniques to enable rapid, autonomous discovery of patterns and meaning in data.

With guided data discovery, automated predictive analytics and cognitive capabilities such as natural language dialogue, Watson Analytics allows you to 'converse' with data and get understandable answers...

Google Cloud AI Platform is a comprehensive set of tools for building, deploying and managing machine learning applications, or integrating them into home-grown applications. It includes pre-trained models that can be used out-of-the-box or customised to meet specific business needs, as well as a wide variety of integrated services that can be used together or separately to build any type of application.

Key features include: