What is the difference between DSX cloud, desktop, and local?
IBM's data science experience also referred as IBM DSX offers 3 different flavors - Cloud, Local Desktop. The main difference between these three flavors is the target audience that will use these flavors. DSX Cloud and Desktop are intended for data scientists and engineers who are working on their independent projects. Users of these flavors don't have to worry about setting dedicated hardware for these flavors. DSX Cloud offers RStudio and Jupyter Notebook with support to R, Python and Scala; it offers spark runtime engine, allow integration with Watson Machine Learning, Kafka and offers other wide range of tools and libraries. DSX Desktop is currently in a beta stage and does not support full set of features from DSX Cloud. It does support Notebooks and RStudio and can be used to learn and practice data science. DSX Local an enterprise solution for data scientists and data engineers which offer a suite of tools that are integrated with proprietary IBM technologies as well as open source technologies like RStudio, Spark, Jupyter notebook. DSX Local can support more than 30 simultaneous users on a cluster. It needs dedicated hardware for installations and setup. For more details on their difference you can refer to following: https://datascience.ibm.com/docs/content/getting-started/welcome-main.html