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 Professional Chose Cloudera 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 Cloudera 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?
Top Pros	Pro Multiple languages Pro Self service Pro Service analytics
Top Cons	Minus Licensing options Minus Not flexible Minus Lacks features

Features

Cloudera Data Science Workbench

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	Cloudera Data Science Workbench 7.5 2 Ratings 10% below category average
Connect to Multiple Data Sources	7.02 Ratings
Extend Existing Data Sources	8.02 Ratings
Automatic Data Format Detection	7.02 Ratings
MDM Integration	8.02 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	Cloudera Data Science Workbench 7.6 2 Ratings 11% below category average
Visualization	7.12 Ratings
Interactive Data Analysis	8.02 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	Cloudera Data Science Workbench 7.8 2 Ratings 4% below category average
Interactive Data Cleaning and Enrichment	7.02 Ratings
Data Transformations	8.02 Ratings
Data Encryption	8.02 Ratings
Built-in Processors	8.02 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	Cloudera Data Science Workbench 7.6 2 Ratings 10% below category average
Multiple Model Development Languages and Tools	8.02 Ratings
Automated Machine Learning	7.01 Ratings
Single platform for multiple model development	7.12 Ratings
Self-Service Model Delivery	8.12 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	Cloudera Data Science Workbench 8.0 2 Ratings 6% below category average
Flexible Model Publishing Options	8.12 Ratings
Security, Governance, and Cost Controls	7.82 Ratings

Best Alternatives
	Cloudera Data Science Workbench
Small Businesses	Jupyter Notebook Score 9.0 out of 10
Medium-sized Companies	Posit Score 9.6 out of 10
Enterprises	Posit Score 9.6 out of 10
All Alternatives	View all alternatives

User Ratings
	Cloudera Data Science Workbench
Likelihood to Recommend	9.0 (3 ratings)
Support Rating	7.9 (2 ratings)

User Testimonials
	Cloudera Data Science Workbench
Likelihood to Recommend	Cloudera 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. Incentivized Verified User Anonymous Read full review
Pros	Cloudera One single IDE (browser based application) that makes Scala, R, Python integrated under one tool For larger organizations/teams, it lets you be self reliant As it sits on your cluster, it has very easy access of all the data on the HDFS Linking with Github is a very good way to keep the code versions intact Incentivized Bharadwaj (Brad) Chivukula Sr.Technical Manager/Delivery Manager Read full review
Cons	Cloudera Installation is difficult. Upgrades are difficult. Licensing options are not flexible. Incentivized Verified User Anonymous Read full review
Support Rating	Cloudera 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. Incentivized Verified User Anonymous Read full review
Alternatives Considered	Cloudera 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 pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions. Incentivized Bharadwaj (Brad) Chivukula Sr.Technical Manager/Delivery Manager Read full review
Return on Investment	Cloudera Paid off for demonstration purposes. Incentivized Verified User Anonymous Read full review
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