Cloudera review
September 15, 2019

Cloudera review

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with Cloudera Data Science Workbench

Cloudera is being used on a 6-node Hadoop cluster used for sandbox demonstrations and development. The business problem it was selected to address was the ability to create Machine Learning models in an enterprise environment based on data lake architecture.

Pros

  • The ability to use multiple languages.
  • GitHub integration.
  • Scalable.

Cons

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
  • Paid off for demonstration purposes.
It is expensive and difficult to install and maintain.

Do you think Cloudera Data Science Workbench delivers good value for the price?

No

Are you happy with Cloudera Data Science Workbench's feature set?

Yes

Did Cloudera Data Science Workbench live up to sales and marketing promises?

Yes

Did implementation of Cloudera Data Science Workbench go as expected?

No

Would you buy Cloudera Data Science Workbench again?

No

The use cases are specific to my industry, and we’re implemented for experimentation and scoring of predictive models.

Data Science Workbench Feature Ratings

7.0
Connect to Multiple Data Sources
6
Extend Existing Data Sources
7
Automatic Data Format Detection
7
MDM Integration
8
9.0
Visualization
9
Interactive Data Analysis
9
7.8
Interactive Data Cleaning and Enrichment
8
Data Transformations
8
Data Encryption
8
Built-in Processors
7
9.7
Multiple Model Development Languages and Tools
9
Single platform for multiple model development
10
Self-Service Model Delivery
10
7.0
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
4

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