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...

R is an open source suite of utilities and a programming language for data manipulation, statistical calculations, analytics and graphics visualisation.

The environment is easily extendable with new packages (statistics, graphics, analytics, etc.) contributed by the community of R users and developers...

MATLAB is a programming language and high-performance computing environment for algorithm development, data visualization, data analysis, and numerical computation. Combining high-level programming features with dynamic data types, MATLAB provides an environment for rapidly prototyping ideas and developing software to solve technical computing and analytical problems...

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:

IBM Watson Studio is a cognitive development tool that allows you to incorporate existing data assets into the Watson platform, create custom models using machine learning, create new services using cognitive APIs and support natural language interfaces in applications, as well as analyse, visualise and interpret data. 

Watson Studio is offered as part of the IBM Cloud Pak for Data tools.

The product is designed to reduce the complexity of building and managing conversational AI applications, enabling you to build and scale AI solutions for the enterprise.

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:

SAS Visual Data Mining and Machine Learning (VDMML) is a software package, part of the SAS Viya platform, that allows users to analyse data, find patterns and make predictions. The software can be used for a variety of tasks, such as predictive analytics and modelling, providing a complete solution for advanced analytics.