Altair RapidMiner vs Anaconda comparison

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Altair RapidMiner

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Executive SummaryUpdated on Mar 4, 2025

Altair RapidMiner and Anaconda are competitors in data analytics and machine learning. Anaconda leads in features, offering a wide array of open-source packages suitable for diverse projects, whereas Altair RapidMiner offers better pricing and support options.

Features: Altair RapidMiner features a user-friendly drag-and-drop design model, strong predictive analytics capabilities, and an automated data cleaning feature. Anaconda provides an extensive suite of open-source packages, includes Jupyter Notebook for dynamic code development and supports both Python and R, facilitating easy logic building and quick deployment.

Room for Improvement: Altair RapidMiner could improve by enhancing integration with more programming languages, expanding its library of machine learning algorithms, and offering more advanced data visualization tools. Anaconda might benefit from simplifying its setup for beginners, reducing its dependency on technical expertise for efficient deployment, and improving its GUI to match the user-friendliness of Altair RapidMiner.

Ease of Deployment and Customer Service: Altair RapidMiner is known for an easy deployment process and responsive customer service, offering comprehensive support that enhances user experience. Anaconda focuses on flexibility with multi-platform support, which requires technical skills. Its large community and extensive documentation help balance customer service limitations.

Pricing and ROI: Altair RapidMiner is considered cost-effective with its direct setup process, providing a quicker return on investment. Anaconda, an open-source solution, has minimal setup costs attractive to budget-conscious organizations; however, customization can lead to additional expenses. Its broad applicability offers substantial long-term value, favoring its ROI in complex analytics.

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

Altair RapidMiner vs. Anaconda

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

Altair 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)

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

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.8%, up from 6.5% compared to the previous year. The mindshare of Anaconda is 2.1%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

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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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.

Read full review

Quotes from Members

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

Pros

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."

"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."

"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."

"The solution is stable."

"The best part of RapidMiner is efficiency."

"Using the GUI, I can have models and algorithms drag and drop nodes."

"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."

"The solution is very intuitive and powerful."

More Altair RapidMiner pros

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

"The notebook feature is an improvement over RStudio."

"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."

"The solution is stable."

"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."

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

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

More Anaconda pros

Cons

"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."

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

"I would like to see all users have access to all of the deep learning models, and that they can be used easily."

"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."

"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."

"The price of this solution should be improved."

"If they could include video tutorials, people would find that quite helpful."

"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."

More Altair RapidMiner cons

"The interface could be improved. Other solutions, like Visual Studio, have much better UI."

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

"It also takes up a lot of space."

"Anaconda should be optimized for RAM consumption."

"I think that the framework can be improved to make it easier for people to discover and use things on their own."

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

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

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

More Anaconda cons

Pricing and Cost Advice

"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."

"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."

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

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

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

"The licensing costs for Anaconda are reasonable."

"The tool is open-source."

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

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Financial Services Firm

10%

Educational Organization

Financial Services Firm

19%

Computer Software Company

10%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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...

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.

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.

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.

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.

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.

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Product Reports

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Altair RapidMiner

February 2025

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March 2025

Overview

Altair RapidMiner is a leading platform for data science and machine learning, offering a user-friendly interface with powerful tools for predictive analytics. It supports integration with APIs, Python, and cloud services for streamlined workflow creation.

RapidMiner provides an efficient data science environment featuring drag-and-drop functionality, automation tools, and a wide array of algorithms, making it adaptable for novices and experts alike. Users benefit from easy data preparation and analysis alongside robust support from a vibrant community. Challenges include better onboarding and deep learning model accessibility, alongside calls for enhanced image processing and large language model integration.

What features make Altair RapidMiner stand out?

Data science tools: Facilitates machine learning and predictive analytics.
Code-optional GUI: Enables non-programmers to create workflows seamlessly.
Integration: Supports APIs, Python, and cloud services.
Drag-and-drop functionality: Simplifies workflow creation for users.
Algorithm variety: Offers diverse methods for data analysis.

What benefits and ROI should users consider when evaluating?

Efficiency: Saves time in data preparation and workflow automation.
Accessibility: Intuitive design aids beginners and experts.
Community: Access to extensions and collaborative resources.
Documentation: Comprehensive tutorials enhance learning.

Altair RapidMiner is extensively used in business and academia, facilitating tasks like predictive analytics, segmentation, and deployment. In education, it supports data science teaching and research, while in industries such as telecom, banking, and healthcare, it's used for data mining, decision trees, and market analysis.

Altair

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

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

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