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.
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Pricing
Data Science Workbench
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
Data Science Workbench
Considered Both Products
Cloudera
Verified User
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sr.Technical Manager/Delivery Manager in Information Technology at Nisum Technologies, Inc. (Retail, 10,001+ employees)
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Key User Insights
Would buy again
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Delivers good value for the price
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Happy with the feature set
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Lived up to sales and marketing promises
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Implementation went as expected
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Features
Data Science Workbench
Platform Connectivity
Comparison of Platform Connectivity features of Cloudera Data Science Workbench
Feature
Cloudera Data Science Workbench
7.5
2 Ratings
11% 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 Cloudera Data Science Workbench
Feature
Cloudera Data Science Workbench
7.6
2 Ratings
10% below category average
Visualization
7.12 Ratings
Interactive Data Analysis
8.02 Ratings
Data Preparation
Comparison of Data Preparation features of Cloudera Data Science Workbench
Feature
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 Cloudera Data Science Workbench
Feature
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 Cloudera Data Science Workbench
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
