Cloudera Data Science Workbench (CDSW) was an enterprise data science platform for collaborative development, experimentation, model training, deployment, and management on Cloudera data infrastructure. Cloudera Data Science Workbench has reached end of support. Cloudera states that its CDSW documentation is no longer updated.
N/A
Pricing
Cloudera Data Science Workbench (discontinued)
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Cloudera Data Science Workbench (discontinued)
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup Fee
No setup fee
Additional Details
—
More Pricing Information
Community Pulse
Cloudera Data Science Workbench (discontinued)
Considered Both Products
Discontinued Products
Verified User
Chose Cloudera Data Science Workbench (discontinued)
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 Cloudera Data Science Workbench (discontinued)
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
No answers on this topic
Delivers good value for the price
No answers on this topic
Happy with the feature set
No answers on this topic
Lived up to sales and marketing promises
No answers on this topic
Implementation went as expected
No answers on this topic
Features
Cloudera Data Science Workbench (discontinued)
Platform Connectivity
Comparison of Platform Connectivity features of Cloudera Data Science Workbench (discontinued)
Feature
Cloudera Data Science Workbench (discontinued)
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 (discontinued)
Feature
Cloudera Data Science Workbench (discontinued)
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 (discontinued)
Feature
Cloudera Data Science Workbench (discontinued)
7.8
2 Ratings
5% 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 (discontinued)
Feature
Cloudera Data Science Workbench (discontinued)
7.6
2 Ratings
11% 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 (discontinued)
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
