Cloudera Data Science Workbench vs. RapidMiner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Data Science Workbench
Score 6.7 out of 10
N/A
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.N/A
RapidMiner
Score 8.8 out of 10
N/A
RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.
$7,500
Per User Per Month
Pricing
Cloudera Data Science WorkbenchRapidMiner
Editions & Modules
No answers on this topic
Professional
$7,500.00
Per User Per Month
Enterprise
$15,000.00
Per User Per Month
AI Hub
$54,000.00
Per User Per Month
Offerings
Pricing Offerings
Data Science WorkbenchRapidMiner
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Data Science WorkbenchRapidMiner
Top Pros
Top Cons
Features
Cloudera Data Science WorkbenchRapidMiner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
2 Ratings
11% below category average
RapidMiner
9.5
2 Ratings
13% above category average
Connect to Multiple Data Sources7.02 Ratings10.02 Ratings
Extend Existing Data Sources8.02 Ratings10.02 Ratings
Automatic Data Format Detection7.02 Ratings9.02 Ratings
MDM Integration8.02 Ratings9.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
11% below category average
RapidMiner
9.0
2 Ratings
6% above category average
Visualization7.12 Ratings9.02 Ratings
Interactive Data Analysis8.02 Ratings9.02 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Cloudera Data Science Workbench
7.8
2 Ratings
5% below category average
RapidMiner
8.8
2 Ratings
7% above category average
Interactive Data Cleaning and Enrichment7.02 Ratings9.02 Ratings
Data Transformations8.02 Ratings7.02 Ratings
Data Encryption8.02 Ratings9.02 Ratings
Built-in Processors8.02 Ratings10.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
10% below category average
RapidMiner
9.0
2 Ratings
7% above category average
Multiple Model Development Languages and Tools8.02 Ratings9.02 Ratings
Automated Machine Learning7.01 Ratings9.02 Ratings
Single platform for multiple model development7.12 Ratings9.02 Ratings
Self-Service Model Delivery8.12 Ratings9.02 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Cloudera Data Science Workbench
8.0
2 Ratings
6% below category average
RapidMiner
9.0
2 Ratings
6% above category average
Flexible Model Publishing Options8.12 Ratings9.02 Ratings
Security, Governance, and Cost Controls7.82 Ratings9.01 Ratings
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All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data Science WorkbenchRapidMiner
Likelihood to Recommend
9.0
(3 ratings)
10.0
(18 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
7.9
(2 ratings)
-
(0 ratings)
User Testimonials
Cloudera Data Science WorkbenchRapidMiner
Likelihood to Recommend
Cloudera
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.
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Altair Engineering, Inc.
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.
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Pros
Cloudera
  • 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
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Altair Engineering, Inc.
  • 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.
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Cons
Cloudera
  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
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Altair Engineering, Inc.
  • 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.
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Likelihood to Renew
Cloudera
No answers on this topic
Altair Engineering, Inc.
Very fast and user-friendly tool
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Usability
Cloudera
No answers on this topic
Altair Engineering, Inc.
Very use to use and learn
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Support Rating
Cloudera
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.
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Altair Engineering, Inc.
No answers on this topic
Alternatives Considered
Cloudera
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.
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Altair Engineering, Inc.
We tried different data tools and we figured we give RapidMinder Studio a shot as one of our employees had experience with it, and when compared to some of the other tools that we used it was the best fit among the test group that we used. Overall it was a little more fluid and user-friendly.
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Return on Investment
Cloudera
  • Paid off for demonstration purposes.
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Altair Engineering, Inc.
  • 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
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ScreenShots