Anaconda vs RapidMiner comparison

Anaconda and RapidMiner are both solutions in the Data Science Platforms category. Anaconda is ranked #12 with an average rating of 8.8, while RapidMiner is ranked #6 with an average rating of 8.3. Anaconda holds a 2.1% mindshare in Data Science Platforms, compared to RapidMiner’s 7.7% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 95% of RapidMiner users who would recommend it.

Anaconda

Read 18 Anaconda reviews

1,734 Views
1,421 Comparison Views

95% willing to recommend

RapidMiner

Read 22 RapidMiner reviews

5,158 Views
4,232 Comparison Views

95% willing to recommend

Anaconda

RapidMiner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

RapidMiner and Anaconda compete in the data analysis and machine learning realm. RapidMiner is often preferred for ease of use and straightforward data workflows, while Anaconda, with its rich ecosystem, is favored by professional data scientists for complex needs.

Features: RapidMiner offers an intuitive platform with drag-and-drop functionality and an extensive visualization catalog, simplifying machine learning for non-coders. Anaconda provides extensive customization through a vast library of open-source tools, supporting Python and R, making it suitable for advanced technical tasks.

Room for Improvement: RapidMiner could improve in offering more customization options and advanced coding capabilities. It would benefit from expanding its library of machine learning algorithms. Anaconda might enhance user-friendliness for beginners and offer streamlined workflows to optimize usability without extensive programming.

Ease of Deployment and Customer Service: RapidMiner allows easy deployment with robust customer support, focusing on simplicity and efficiency in predictive analytics. Anaconda supports diverse environments, requiring more technical know-how for optimization, but provides scalability for larger projects.

Pricing and ROI: RapidMiner may involve a higher initial cost but delivers good ROI through accelerated insights and ease of use, aligning with business requirements. Anaconda, being open-source, offers a cost-effective entry point, providing ROI through long-term customization and scalability, leveraging its comprehensive toolset.

To learn more, read our detailed Anaconda vs. RapidMiner Report (Updated: January 2025).

Buyer's Guide

Anaconda vs. RapidMiner

January 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Anaconda

Ranking in Data Science Platforms

12th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

RapidMiner

Ranking in Data Science Platforms

6th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (3rd)

Mindshare comparison

As of January 2025, in the Data Science Platforms category, the mindshare of Anaconda is 2.1%, down from 2.3% compared to the previous year. The mindshare of RapidMiner is 7.7%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

Provides all the frameworks and makes it easy to create environments for multiple projects

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

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Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

A no-code tool that helps to build machine learning models

One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Voice Configuration and Environmental Management Capabilities are the most valuable features."

"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."

"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."

"The documentation is excellent and the solution has a very large and active community that supports it."

"The virtual environment is very good."

"It helped us find find the optimal area for where our warehouse should be located."

"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."

More Anaconda pros

"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

"The data science, collaboration, and IDN are very, very strong."

"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."

"The best part of RapidMiner is efficiency."

"The solution is very intuitive and powerful."

"One of the most valuable features is the built-in data tuning feature. Once the model is built, we often struggle to increase its accuracy, but RapidMiner allows us to fine-tune variables. For Example, when working on a project, we can adjust the number of nodes or the depth of trees to see how accuracy changes. This flexibility lets us achieve higher accuracy compared to traditional automated machine-learning models"

"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."

"RapidMiner for Windows is an excellent graphical tool for data science."

More RapidMiner pros

Cons

"When you install Anaconda for the first time, it's really difficult to update it."

"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."

"Anaconda should be optimized for RAM consumption."

"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."

"The solution would benefit from offering more automation."

"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."

"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."

More Anaconda cons

"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."

"I would like to see more integration capabilities."

"I think that they should make deep learning models easier."

"Improve the online data services."

"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."

"It would be helpful to have some tutorials on communicating with Python."

"RapidMiner isn't cheap. It's a complete solution, but it's costly."

More RapidMiner cons

Pricing and Cost Advice

"The product is open-source and free to use."

"The licensing costs for Anaconda are reasonable."

"The tool is open-source."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"I used an educational license for this solution, which is available free of charge."

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"For the university, the cost of the solution is free for the students and teachers."

"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

10%

Manufacturing Company

University

12%

Computer Software Company

10%

Financial Services Firm

10%

Educational Organization

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.

See all answers

What is your experience regarding pricing and costs for Anaconda?

Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.

See all answers

What needs improvement with Anaconda?

Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.

See all answers

What do you like most about RapidMiner?

RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the dat...

See all answers

What is your experience regarding pricing and costs for RapidMiner?

I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment.

See all answers

What needs improvement with RapidMiner?

The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.

See all answers

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Product Reports

Buyer's Guide

Anaconda

January 2025

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Buyer's Guide

RapidMiner

January 2025

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Learn More

Anaconda

RapidMiner

Overview

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Buyer's Guide

Anaconda vs. RapidMiner

January 2025

Free Report: Anaconda vs. RapidMiner

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