Altair RapidMiner vs Anaconda Business comparison

Altair and Anaconda are both solutions in the Data Science Platforms category. Altair is ranked #7 with an average rating of 8.1, while Anaconda is ranked #11 with an average rating of 8.7. Altair holds a 7.7% mindshare in Data Science Platforms, compared to Anaconda’s 2.1% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 95% of Anaconda users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

5,302 Views
4,560 Comparison Views

96% willing to recommend

Anaconda Business

Read 19 Anaconda Business reviews

1,678 Views
1,259 Comparison Views

95% willing to recommend

Altair RapidMiner

Anaconda Business

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

Altair RapidMiner and Anaconda Business are both key players in the data science industry, catering to diverse business needs. Altair RapidMiner stands out in terms of pricing and customer support, while Anaconda Business offers extensive features that justify its higher price point.

Features: Altair RapidMiner includes predictive analytics, automated data preparation, and model operations, focusing on user-friendliness and comprehensive workflows. Anaconda Business offers open-source software access, package management, and secure environments, catering to Python and R-based applications.

Room for Improvement: Altair RapidMiner could enhance its generative AI capabilities and improve integration with emerging technologies. It may also benefit from an extended API library. Anaconda Business could provide more intuitive deployment processes and enhance its user interface for non-technical users. Additional tutorials for beginners and more robust support for integrating custom solutions could also help.

Ease of Deployment and Customer Service: Altair RapidMiner provides straightforward deployment models with strong support channels for seamless infrastructure integration. Anaconda Business offers centralized management and enterprise-grade security, appealing to technical users, though its customer service leans more towards advanced technical support.

Pricing and ROI: Altair RapidMiner typically has a more appealing cost structure and faster ROI due to accessible pricing tiers and efficient implementation. Anaconda Business carries a higher upfront cost but appeals to those seeking depth and scalability for long-term projects.

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

Buyer's Guide

Altair RapidMiner vs. Anaconda Business

July 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

7th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (2nd)

Anaconda Business

Ranking in Data Science Platforms

11th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.7%, up from 7.1% compared to the previous year. The mindshare of Anaconda Business is 2.1%, up from 2.1% 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

"The most valuable feature is what the product sets out to do, which is extracting information and data."

"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."

"The solution is very intuitive and powerful."

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

"I've been using a lot of components from the Strategic Extension and Python Extension."

"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."

"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 stable."

More Altair RapidMiner pros

"The most advantageous feature is the logic building."

"The virtual environment is very good."

"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."

"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 has a lot of functionality available, supports many libraries, and the developers are continually improving it."

"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."

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

"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."

More Anaconda Business pros

Cons

"A great product but confusing in some way with regard to the user interface and integration with other tools."

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

"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 product must provide data-cleaning features."

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

"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 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."

"In the Mexican or Latin American market, it's kind of pricey."

More Altair RapidMiner cons

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

"Anaconda should be optimized for RAM consumption."

"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."

"Anaconda can't handle heavy workloads."

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

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

"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."

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

More Anaconda Business cons

Pricing and Cost Advice

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

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

"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."

"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."

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

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

"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."

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Educational Organization

10%

Manufacturing Company

Financial Services Firm

19%

Computer Software Company

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...

See all answers

What is your experience regarding pricing and costs for RapidMiner?

I started with a trial version. We are likely to purchase a license, which may offer additional features.

See all answers

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning. It would be beneficial if the platform co...

See all answers

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 is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.

See all answers

What needs improvement with Anaconda?

There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.

See all answers

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Compared 33% of the time

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Compared 14% of the time

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Compared 12% of the time

Microsoft Azure Machine Learning Studio vs Anaconda Business

Compared 7% of the time

KNIME Business Hub vs Anaconda Business

Compared 4% of the time

More Anaconda Business Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

July 2025

Download Altair RapidMiner product report

Buyer's Guide

Anaconda Business

July 2025

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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 Business provides a comprehensive platform for data science applications, integrating extensive libraries and seamless Python and R compatibility, enhancing developer productivity.

Anaconda Business offers data science professionals a platform combining extensive library support with pre-built models and seamless integration of Python and R environments. With features like a user-friendly interface and integrated Jupyter Notebook, it facilitates real-time code execution and debugging. Environmental management is simplified via Conda, while cloud-based access and package management enhance user experience. Community support and integration with applications like RStudio and Jupyter aid in data science and deep learning tasks.

What are the key features of Anaconda Business?

Extensive Library Support: Access numerous libraries for enhanced development capabilities.
Seamless Python and R Integration: Foster productivity through combined language support.
Cloud-Based Access: Facilitate collaboration and accessibility across teams.
Jupyter Notebook Integration: Enable real-time code execution and debugging.
Conda Environment Management: Simplify setup and management of environments.

What benefits should be considered in Anaconda Business?

Efficient Development: Streamline workflows with comprehensive tool integration.
Enhanced Collaboration: Utilize cloud-based tools for teamwork and data sharing.
Scalability: Adapt to growing workloads with robust capabilities.
Community Support: Leverage community expertise for solutions and troubleshooting.

Anaconda Business is widely used in industries like machine learning and data analysis, where it's employed for tasks such as predictive modeling and data visualization. Organizations utilize its compatibility with tools like Scikit-learn and TensorFlow for creating statistical models, supporting applications in fields such as analytics, education, subrogation, and warehouse management.

Anaconda

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

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

Buyer's Guide

Altair RapidMiner vs. Anaconda Business

July 2025

Free Report: Altair RapidMiner vs. Anaconda Business

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