DSX: a cloud solution to make data science in the company a reality
February 22, 2018

DSX: a cloud solution to make data science in the company a reality

José Adolfo Ramírez Magdaleno | TrustRadius Reviewer
Score 9 out of 10
Vetted Review

Overall Satisfaction with IBM Data Science Experience (DSx)

To move data from to an API public government service to an operational dashboard that shows real time results.

All the connections and data preparation jobs are achieved with DSX through a Python Jupyter notebook which runs automatically every 10 minutes and solves the whole process without human intervention.

Pros

  • Scalable in the sense that its performance can grow without complications, but also in its capabilities, since various services can be included at a very competitive price: optimization, machine learning, storage, etc.
  • Collaborative solution, since you do not work in isolation, you can generate data science projects with your peers, manage permissions, manage versions of the script.
  • Enabled in Spark, the top framework for data science and machine learning.

Cons

  • It would be very valuable to include a calculator that will help you identify how many cores or require hiring Spark resources and storage resources, to make a precise sizing from the start.
  • Totally ROI guaranteed, since you can even start with a free LITE version and start from there according to the needs.
Ideal for companies that have teams (3 to more professionals) of data scientists who need to guarantee results at all times and without breaks, in the sense that DSX is in a cloud that does not require installations or dependencies of the IT department.

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