What users are saying about
13 Ratings
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Score 7.9 out of 100
11 Ratings
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Score 9.4 out of 100

Likelihood to Recommend

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.
Anonymous | TrustRadius Reviewer

Cloudera Manager

It would be suited for customers who feel more comfortable with using a GUI. It is less appropriate for developers or engineers who are comfortable with command line
Ethan Tran | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.3
Cloudera Manager
Connect to Multiple Data Sources
Data Science Workbench
6.6
Cloudera Manager
Extend Existing Data Sources
Data Science Workbench
7.6
Cloudera Manager
Automatic Data Format Detection
Data Science Workbench
7.0
Cloudera Manager
MDM Integration
Data Science Workbench
8.0
Cloudera Manager

Data Exploration

Data Science Workbench
8.2
Cloudera Manager
Visualization
Data Science Workbench
7.9
Cloudera Manager
Interactive Data Analysis
Data Science Workbench
8.4
Cloudera Manager

Data Preparation

Data Science Workbench
7.8
Cloudera Manager
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.4
Cloudera Manager
Data Transformations
Data Science Workbench
8.0
Cloudera Manager
Data Encryption
Data Science Workbench
8.0
Cloudera Manager
Built-in Processors
Data Science Workbench
7.6
Cloudera Manager

Platform Data Modeling

Data Science Workbench
8.2
Cloudera Manager
Multiple Model Development Languages and Tools
Data Science Workbench
8.4
Cloudera Manager
Automated Machine Learning
Data Science Workbench
7.0
Cloudera Manager
Single platform for multiple model development
Data Science Workbench
8.3
Cloudera Manager
Self-Service Model Delivery
Data Science Workbench
8.9
Cloudera Manager

Model Deployment

Data Science Workbench
7.6
Cloudera Manager
Flexible Model Publishing Options
Data Science Workbench
8.9
Cloudera Manager
Security, Governance, and Cost Controls
Data Science Workbench
6.2
Cloudera Manager

Pros

Data Science Workbench

  • 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
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Cloudera Manager

  • Graphical user interface
  • Management of third party applications start/stop/restart functionality through framework
  • Support of Apache Hadoop ecosystem
  • Ability to do "rolling restarts"
Charles Inglese | TrustRadius Reviewer

Cons

Data Science Workbench

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Anonymous | TrustRadius Reviewer

Cloudera Manager

  • Cloudera Manager needs to be more agile with integrating other applications, such as Accumulo 1.7, to their software.
  • Cloudera Manager can do a better job at explaining why a node fails to add to a cluster using their assistant.
  • Cloudera Manager should show graphs only when there is data, instead of showing just an empty box.
Ethan Tran | TrustRadius Reviewer

Likelihood to Renew

Data Science Workbench

No score
No answers yet
No answers on this topic

Cloudera Manager

Cloudera Manager 8.5
Based on 2 answers
It is a well developed product with a good user interface.
Charles Inglese | TrustRadius Reviewer

Support Rating

Data Science Workbench

Data Science Workbench 6.7
Based on 2 answers
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.
Anonymous | TrustRadius Reviewer

Cloudera Manager

No score
No answers yet
No answers on this topic

Alternatives Considered

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 pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Cloudera Manager

I have not used any competitors, such as Hortonworks, because Cloudera Manager just works and meets all my customer's needs. I only have deployed Hadoop using command line, which is not easy to use and manage.
Ethan Tran | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Cloudera Manager

  • Cloudera Manager has allowed our organization to deploy Apache Hadoop to operations quicker and with less training versus using the command line exclusively.
  • Increased employee efficiency.
  • Increased product adoption.
Charles Inglese | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Cloudera Manager

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Data Science Workbench
7.7
Cloudera Manager
8.5

Likelihood to Renew

Data Science Workbench
Cloudera Manager
8.5

Support Rating

Data Science Workbench
6.7
Cloudera Manager

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