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...

H2O.ai is a machine learning software used to build and deploy predictive analytics models. H2O.ai provides an easy-to-use interface that allows users to build and train machine learning models without writing code. This can be done using built-in algorithms or by importing custom algorithms from R and Python...

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.

SAP HANA (High-performance ANalytic Appliance) is a multi-model database that stores data in its memory rather than on a disk. This column-based design enables advanced analytics along with high-speed transactions in a single system..

Snowflake is a fully managed cloud service, easy to use, but with a huge capacity for concurrent workloads.
Snowflake provides capabilities for data warehousing, data lakes, data engineering, data science, data application development and securely shared data exchange and consumption.