Good for large teams with large data reiterating on their data projects in various steps.
January 28, 2023

Good for large teams with large data reiterating on their data projects in various steps.

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

Overall Satisfaction with IBM Watson Studio on Cloud Pak for Data

Collaboration is the key aspect in whatever projects we do at our organization. We have people from web development, data science, and ML teams working on projects involving all three domains in a single project. IBM Watson Studio on Cloud Pak for Data is a great asset for the data science team where we work on individual tasks, collaborate with teammates, and share findings and insights. It has all the basic tools required for visualization and modeling the algorithm. The IBM cloud Pak has numerous examples for various use cases.
  • The R studio which is very flexible more than any IDE.
  • Testing and developing the model locally before finally publishing.
  • Collaborating with teammates on same data.
  • Watson Studio is a little complex for beginners to get started. Paid courses explain them well to beginners.
  • Many features that small teams might not use.
  • Collaboration
  • R studio flexibility
  • Pipelines
  • Improved productivity of teams with collaboration.
  • Faster processing of data so less time taken for tasks.
  • Better Delivery of end products.

Do you think IBM Watson Studio on Cloud Pak for Data delivers good value for the price?

Not sure

Are you happy with IBM Watson Studio on Cloud Pak for Data's feature set?

Yes

Did IBM Watson Studio on Cloud Pak for Data live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of IBM Watson Studio on Cloud Pak for Data go as expected?

Yes

Would you buy IBM Watson Studio on Cloud Pak for Data again?

Yes

It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.

IBM Watson Studio Feature Ratings

Connect to Multiple Data Sources
8
Extend Existing Data Sources
8
Automatic Data Format Detection
10
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Data Encryption
8
Built-in Processors
10
Multiple Model Development Languages and Tools
10
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
8
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
7