Cloudera Data Science Workbench

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Data Science Workbench	Score 6.7 out of 10	N/A	Cloudera Data Science Workbench enables secure self-service data science for the enterprise. It is a collaborative environment where developers can work with a variety of libraries and frameworks.	N/A

Pricing

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
Data Science Workbench
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Cloudera Data Science Workbench
Considered Both Products	Data Science Workbench Verified User Anonymous Chose Data Science Workbench 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 … Incentivized Helpful? Bharadwaj (Brad) Chivukula Sr.Technical Manager/Delivery Manager Chose Data Science Workbench Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions … Incentivized Helpful?

Features

Cloudera Data Science Workbench

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	Cloudera Data Science Workbench 7.5 Ratings 11% below category average
Connect to Multiple Data Sources	7.00 Ratings
Extend Existing Data Sources	8.00 Ratings
Automatic Data Format Detection	7.00 Ratings
MDM Integration	8.00 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	Cloudera Data Science Workbench 7.6 Ratings 10% below category average
Visualization	7.10 Ratings
Interactive Data Analysis	8.00 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	Cloudera Data Science Workbench 7.8 Ratings 4% below category average
Interactive Data Cleaning and Enrichment	7.00 Ratings
Data Transformations	8.00 Ratings
Data Encryption	8.00 Ratings
Built-in Processors	8.00 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	Cloudera Data Science Workbench 7.6 Ratings 10% below category average
Multiple Model Development Languages and Tools	8.00 Ratings
Automated Machine Learning	7.00 Ratings
Single platform for multiple model development	7.10 Ratings
Self-Service Model Delivery	8.10 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	Cloudera Data Science Workbench 8.0 Ratings 6% below category average
Flexible Model Publishing Options	8.10 Ratings
Security, Governance, and Cost Controls	7.80 Ratings

Best Alternatives
	Cloudera Data Science Workbench
Small Businesses	Jupyter Notebook Score 9.4 out of 10
Medium-sized Companies	Posit Score 10.0 out of 10
Enterprises	Posit Score 10.0 out of 10
All Alternatives	View all alternatives

User Ratings
	Cloudera Data Science Workbench
Likelihood to Recommend	9.0 (0 ratings)
Support Rating	7.9 (0 ratings)

User Testimonials
	Cloudera Data Science Workbench
Likelihood to Recommend	If you already have a Cloudera partnership and a cluster, having this is a no brainer. It integrates well with your existing ecosystem and it immediately starts working on projects, accessing full datasets and share analysis and results. With the inclusion of Kubernetes, CPU and memory across worker nodes can be managed effectively. Incentivized Bharadwaj (Brad) Chivukula Sr.Technical Manager/Delivery Manager Read full review
Pros	Enterprise grade security. Self-service analytics platform. Popular programming support. Incentivized Verified User Anonymous Read full review
Cons	Not as great as RStudio; lacks some features when compared with it It is quite simple still (because its very early in its initiative), and companies may want to wait until they see a more developed product Incentivized Bharadwaj (Brad) Chivukula Sr.Technical Manager/Delivery Manager Read full review
Support Rating	It is expensive and difficult to install and maintain. Incentivized Verified User Anonymous Read full review
Alternatives Considered	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. Incentivized Verified User Anonymous Read full review
Return on Investment	Paid off for demonstration purposes. Incentivized Verified User Anonymous Read full review
ScreenShots