Jupyter Notebook vs. RapidMiner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Jupyter Notebook
Score 8.7 out of 10
N/A
Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…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
Jupyter NotebookRapidMiner
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
Jupyter NotebookRapidMiner
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
Features
Jupyter NotebookRapidMiner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Jupyter Notebook
8.5
21 Ratings
1% above category average
RapidMiner
9.5
2 Ratings
12% above category average
Connect to Multiple Data Sources9.021 Ratings10.02 Ratings
Extend Existing Data Sources9.220 Ratings10.02 Ratings
Automatic Data Format Detection8.514 Ratings9.02 Ratings
MDM Integration7.415 Ratings9.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Jupyter Notebook
9.6
21 Ratings
13% above category average
RapidMiner
9.0
2 Ratings
7% above category average
Visualization9.621 Ratings9.02 Ratings
Interactive Data Analysis9.621 Ratings9.02 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Jupyter Notebook
9.0
21 Ratings
9% above category average
RapidMiner
8.8
2 Ratings
7% above category average
Interactive Data Cleaning and Enrichment9.320 Ratings9.02 Ratings
Data Transformations8.921 Ratings7.02 Ratings
Data Encryption8.514 Ratings9.02 Ratings
Built-in Processors9.314 Ratings10.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Jupyter Notebook
8.9
21 Ratings
5% above category average
RapidMiner
9.0
2 Ratings
6% above category average
Multiple Model Development Languages and Tools9.020 Ratings9.02 Ratings
Automated Machine Learning9.218 Ratings9.02 Ratings
Single platform for multiple model development9.221 Ratings9.02 Ratings
Self-Service Model Delivery8.020 Ratings9.02 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Jupyter Notebook
8.8
19 Ratings
3% above category average
RapidMiner
9.0
2 Ratings
5% above category average
Flexible Model Publishing Options8.819 Ratings9.02 Ratings
Security, Governance, and Cost Controls8.718 Ratings9.01 Ratings
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User Ratings
Jupyter NotebookRapidMiner
Likelihood to Recommend
8.4
(22 ratings)
10.0
(18 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
10.0
(1 ratings)
9.0
(1 ratings)
Support Rating
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Jupyter NotebookRapidMiner
Likelihood to Recommend
Open Source
I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
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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
Open Source
  • Simple and elegant code writing ability. Easier to understand the code that way.
  • The ability to see the output after each step.
  • The ability to use ton of library functions in Python.
  • Easy-user friendly interface.
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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
Open Source
  • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
  • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.
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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
Open Source
No answers on this topic
Altair Engineering, Inc.
Very fast and user-friendly tool
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Usability
Open Source
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.
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Altair Engineering, Inc.
Very use to use and learn
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Support Rating
Open Source
I haven't had a need to contact support. However, all required help is out there in public forums.
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Altair Engineering, Inc.
No answers on this topic
Alternatives Considered
Open Source
With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
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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
Open Source
  • Positive impact: flexible implementation on any OS, for many common software languages
  • Positive impact: straightforward duplication for adaptation of workflows for other projects
  • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
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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