DSx Review
March 27, 2018
DSx Review
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Data Science Experience (DSx)
It is used to create demos of the tool and real cases for selling it. In my organization it is not used.
- The run period is good and what you run is saved.
- You have to install nothing and that's a great advantage.
- You can create conections to save your files in the cloud.
- It works perfectly in a collaborative environment and it's easy.
- It is limited still. Jupyter supports many programming languages but DSx just manages three.
- The scheduled jobs are fantastic but it can be more frequent.
- The multiple errors of the account, the group, the services are confusing.
- So many things are free in DSX so it worth completly.
- If you need more space, more RAM or something which you have to pay, it is good here because of the optimization.
- When you have more products of IBM, the return of investment is bigger because of the synergy.
From IBM I can't compare any product because DSx is kind of perfect for me, so it is unparalleled