What users are saying about
13 Ratings
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Score 7.9 out of 100
5 Ratings
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Score 9.3 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

Jupyter Notebook

Juypter suits developers the most, who want to write small pieces of code and create larger modules. Jupyter is also suited when creating smaller integration scenarios. Jupyter enables creating neat graphical charts for analysts very quickly. It is particularly easy to create and share notebooks to who so ever. For Enterprise-grade scenarios and large scale implementations, Jupyter may not be the best fit.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.3
Jupyter Notebook
8.5
Connect to Multiple Data Sources
Data Science Workbench
6.6
Jupyter Notebook
9.0
Extend Existing Data Sources
Data Science Workbench
7.6
Jupyter Notebook
9.0
Automatic Data Format Detection
Data Science Workbench
7.0
Jupyter Notebook
9.0
MDM Integration
Data Science Workbench
8.0
Jupyter Notebook
7.0

Data Exploration

Data Science Workbench
8.2
Jupyter Notebook
10.0
Visualization
Data Science Workbench
7.9
Jupyter Notebook
10.0
Interactive Data Analysis
Data Science Workbench
8.4
Jupyter Notebook
10.0

Data Preparation

Data Science Workbench
7.8
Jupyter Notebook
5.5
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.4
Jupyter Notebook
4.0
Data Transformations
Data Science Workbench
8.0
Jupyter Notebook
5.0
Data Encryption
Data Science Workbench
8.0
Jupyter Notebook
4.0
Built-in Processors
Data Science Workbench
7.6
Jupyter Notebook
9.0

Platform Data Modeling

Data Science Workbench
8.2
Jupyter Notebook
8.7
Multiple Model Development Languages and Tools
Data Science Workbench
8.4
Jupyter Notebook
10.0
Automated Machine Learning
Data Science Workbench
7.0
Jupyter Notebook
8.0
Single platform for multiple model development
Data Science Workbench
8.3
Jupyter Notebook
8.0
Self-Service Model Delivery
Data Science Workbench
8.9
Jupyter Notebook

Model Deployment

Data Science Workbench
7.6
Jupyter Notebook
4.5
Flexible Model Publishing Options
Data Science Workbench
8.9
Jupyter Notebook
8.0
Security, Governance, and Cost Controls
Data Science Workbench
6.2
Jupyter Notebook
1.0

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

Jupyter Notebook

  • Saves the results until next time the notebook is reopened
  • Provides so many libraries
  • Allows to code on multiple platforms
  • Automatically creates checkpoints
  • Really lightweight
Anonymous | TrustRadius Reviewer

Cons

Data Science Workbench

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

Jupyter Notebook

  • Would like to see syntax errors highlighted while coding
  • PDF integration should get better to print notebook results
Anonymous | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

Jupyter Notebook

Jupyter Notebook 10.0
Based on 1 answer
Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
Anonymous | 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

Jupyter Notebook

Jupyter Notebook 9.0
Based on 1 answer
I haven't had a need to contact support. However, all required help is out there in public forums.
Anonymous | TrustRadius Reviewer

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

Jupyter Notebook

When I tried Zeppelin in 2017, it was still in initial versions, Jupyter was way ahead as of then. Zeppelin had limitations and I wasn't confident of it making progress as much as Jupyter.
Anonymous | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Jupyter Notebook

  • Saves Time
  • Easy to develop
  • Very easy to setup and adapt
Anonymous | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

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

Jupyter Notebook

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
Jupyter Notebook
10.0

Usability

Data Science Workbench
Jupyter Notebook
10.0

Support Rating

Data Science Workbench
6.7
Jupyter Notebook
9.0

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