Watson Studio, formerly Data Science Experience or DSX, is IBM’s software platform for data science. The platform consists of a workspace that includes multiple collaboration and open-source tools for use in data science.[1]
In Watson Studio, a data scientist can create a project with a group of collaborators, all having access to various analytics models and using various languages (R/Python/Scala). Watson Studio brings together staple open source tools including RStudio, Spark and Python in an integrated environment, along with additional tools such as a managed Spark service and data shaping facilities, in a secure and governed environment.[2]
Watson Studio provides access to data sets that are available through Watson Data Platform, on-premises or on the cloud. The platform also has a large community and embedded resources such as articles on the latest developments from the data science world and public data sets. The platform is available in on-premises, cloud, and desktop forms.
IBM announced the launch of Data Science Experience at the Spark Summit 2016 in San Francisco. IBM invested $300 million in efforts to make Spark the analytics operating system for all of the company's big data efforts.[3]
In June 2017, Hortonworks and IBM announced their partnership to collaborate on IBM's Data Science Experience. Hortonworks previously had a partnership relationship with Microsoft.[4]
In 2018, the Data Science Experience platform was renamed IBM Watson Studio.[5]