What users are saying about
14 Ratings
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Score 7.6 out of 100
48 Ratings
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Score 7.2 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

RapidMiner Studio

RapidMiner is really fantastic to perform fast ETL processes and work on your data as you want, no matter what is the source. You will really save a lot of time when you learn how to use it. You can create mining analysis with several algorithms, and thanks to add-ons, you can apply a lot of techniques. It will not replace a business intelligence dashboard but it allows to create great datamarts for your BI tools.One negative thing is that It's no easy to share your outputs.
David Baltar Boilève | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.4
RapidMiner Studio
10.0
Connect to Multiple Data Sources
Data Science Workbench
6.9
RapidMiner Studio
10.0
Extend Existing Data Sources
Data Science Workbench
7.9
RapidMiner Studio
10.0
Automatic Data Format Detection
Data Science Workbench
7.0
RapidMiner Studio
10.0
MDM Integration
Data Science Workbench
8.0
RapidMiner Studio

Data Exploration

Data Science Workbench
7.7
RapidMiner Studio
9.0
Visualization
Data Science Workbench
7.2
RapidMiner Studio
10.0
Interactive Data Analysis
Data Science Workbench
8.1
RapidMiner Studio
8.0

Data Preparation

Data Science Workbench
7.8
RapidMiner Studio
9.0
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.1
RapidMiner Studio
10.0
Data Transformations
Data Science Workbench
8.0
RapidMiner Studio
10.0
Data Encryption
Data Science Workbench
8.0
RapidMiner Studio
6.0
Built-in Processors
Data Science Workbench
7.9
RapidMiner Studio
10.0

Platform Data Modeling

Data Science Workbench
7.7
RapidMiner Studio
9.5
Multiple Model Development Languages and Tools
Data Science Workbench
8.1
RapidMiner Studio
10.0
Automated Machine Learning
Data Science Workbench
7.0
RapidMiner Studio
10.0
Single platform for multiple model development
Data Science Workbench
7.3
RapidMiner Studio
10.0
Self-Service Model Delivery
Data Science Workbench
8.2
RapidMiner Studio
8.0

Model Deployment

Data Science Workbench
7.9
RapidMiner Studio
5.0
Flexible Model Publishing Options
Data Science Workbench
8.2
RapidMiner Studio
5.0
Security, Governance, and Cost Controls
Data Science Workbench
7.6
RapidMiner Studio

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

RapidMiner Studio

  • I am very impressed at how easily you can work within RapidMiner without much data analytics training. Plus with the help of the crowd, you can see what steps others have taken with their data analytics projects.
  • Text mining was simple and clean. We used this for our call transcription problem where we didn't have the resources to listen to each call. We needed to qualify each call based on some key phrases.
  • Our direct mail program was large and not very targeted. Using RapidMiner, we were able to isolate a predictive level we felt comfortable with and decided not to send to anyone below that level. We saved quite a bit of money.
Sue Bennett | TrustRadius Reviewer

Cons

Data Science Workbench

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

RapidMiner Studio

  • I hope RapidMiner would be the first data science platform that allows data scientists to change the behaviour of a machine learning algorithm that already exists in the repository. For example, I want to be able to change the way a genetic algorithm mutates.
  • Automatic programming: One day, I hope RapidMiner can automatically generate codes in any 4th generation programming language based on the developed model.
  • More tutorials/samples needed: Why doesn't RapidMiner becomes the next 'UC Irvine Machine Learning Repository'? Provide real examples and real cases for users to study and understand the best practices in modelling. RapidMiner already has some datasets for a tutorial. Besides the existing samples, I hope RapidMiner can provide more sample data and examples.
Mohd Zakree Ahmad Nazri | TrustRadius Reviewer

Likelihood to Renew

Data Science Workbench

No score
No answers yet
No answers on this topic

RapidMiner Studio

RapidMiner Studio 9.0
Based on 1 answer
Very fast and user-friendly tool
David Baltar Boilève | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

RapidMiner Studio

RapidMiner Studio 9.0
Based on 1 answer
Very use to use and learn
David Baltar Boilève | TrustRadius Reviewer

Support Rating

Data Science Workbench

Data Science Workbench 7.7
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

RapidMiner Studio

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

RapidMiner Studio

We selected RapidMiner due to ease of use and a comfortable user interface. It stacks up very well against these tools in the predictive analytics space. For basic analytics and data reporting, we chose QlikView and Qlik Sense as a more robust reporting platform.
Anonymous | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

RapidMiner Studio

  • Thanks to the patters that RapidMiner has detected, we have been able to follow clues in the right direction, both for the Protein Interaction Network Analysis and for the Epilepsy Research
  • Students and participants of the machine learning workshops have learned about this technology and about the tool
Anonymous | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

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

Data Science Workbench Editions & Modules

Additional Pricing Details

RapidMiner Studio

General

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

RapidMiner Studio Editions & Modules

Edition
Professional$7,500.001
Enterprise$15,000.001
AI Hub$54,000.001
  1. Per User Per Month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Data Science Workbench
8.7
RapidMiner Studio
8.7

Likelihood to Renew

Data Science Workbench
RapidMiner Studio
9.0

Usability

Data Science Workbench
RapidMiner Studio
9.0

Support Rating

Data Science Workbench
7.7
RapidMiner Studio

Add comparison