The perfect analytics and data science platform for your Cloudera Data Platform
Updated November 18, 2020
The perfect analytics and data science platform for your Cloudera Data Platform
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Cloudera Data Science Workbench
Cloudera Data Science Workbench (CDSW) is mainly being used by data engineers in the IT department for Big Data Analytics pipeline from ingestion until feature extraction phase. It is also being used by data scientists in Analytics department for building machine learning models. On top of that, it is also used by business analyst in Big Data Monetization business units for exploration and reporting. CDSW reduces time to market from exploring, modeling, and deploying to production.
- Enterprise grade security.
- Self-service analytics platform.
- Popular programming support.
- Lacks features offered by competition.
- Limited license scheme options.
- Installation in production can be challenging.
- Reducing cost by eliminating silos.
- Faster adoption and time to market.
- Added cost for enterprise license.
- Azure Data Science Virtual Machines (DSVM)
Since our organization had already implemented Cloudera Data Platform as our Big Data Warehouse platform, implementing CDSW as the go-to Analytic and Data Science Platform is the most logical and cost-effective decision to make. It integrates seamlessly with our CDH clusters and it also provides enterprise-grade security for on-premise implementation.
Do you think Cloudera Data Science Workbench delivers good value for the price?
Yes
Are you happy with Cloudera Data Science Workbench's feature set?
Yes
Did Cloudera Data Science Workbench live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Cloudera Data Science Workbench go as expected?
I wasn't involved with the implementation phase
Would you buy Cloudera Data Science Workbench again?
Yes