Good Toolset for a Data Scientist
March 30, 2018

Good Toolset for a Data Scientist

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Data Science Experience (DSx)

We use the DSX for modeling and prototyping. It is also good for demonstrations and code sharing.


  • Good setup for R, Python and Spark/Scala
  • Available as desktop version for offline usage
  • Easy to handle data sets
  • Easy to add new libraries for R and Python


  • Sometimes both versions (cloud and desktop) crash
  • Small community for backup
  • Missing implementation of SPSS
  • Free cloud version with low performance
  • We use it for demonstrations and Proof of concepts. So we can aquire new customers
  • As a customer the benefits are a centralized data science lab
  • Faster development and code review
DSX is a good challenger for Databricks and co. It is Enterprise ready and well integrated.
DSX is well suited for explorative data analysis and prototyping. It works well for code sharing and working together. In fact its based onJupyter and some ecosystem of IBM. DSX is not good for using a model in production mode. A good challenger is data bricks notebooks and I‘m using both a lot.


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