September 15, 2019
Professional in Research & DevelopmentUtilities Company, 10,001+ employees
Score 6 out of 10
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.
- The ability to use multiple languages.
- GitHub integration.
- Installation is difficult.
- Upgrades are difficult.
- Licensing options are not flexible.
Do you think Cloudera Data Science Workbench delivers good value for the price?
Are you happy with Cloudera Data Science Workbench's feature set?
Did Cloudera Data Science Workbench live up to sales and marketing promises?
Did implementation of Cloudera Data Science Workbench go as expected?
Would you buy Cloudera Data Science Workbench again?
Data Science Workbench Feature Ratings
Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
Interactive Data Analysis
Interactive Data Cleaning and Enrichment
Multiple Model Development Languages and Tools
Single platform for multiple model development
Self-Service Model Delivery
Flexible Model Publishing Options
Security, Governance, and Cost Controls