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

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

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.
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.

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

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.

Data Science Workbench Feature Ratings

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