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 7.4% mindshare in Data Science Platforms, compared to Anaconda’s 2.4% 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

4,844 Views
4,214 Comparison Views

96% willing to recommend

Anaconda Business

Read 19 Anaconda Business reviews

1,707 Views
1,263 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 September 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.4%, down from 7.5% compared to the previous year. The mindshare of Anaconda Business is 2.4%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	7.4%
Anaconda Business	2.4%
Other	90.2%

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

"RapidMiner is very easy to use."

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

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code 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 most valuable features are the Binary classification and Auto Model."

"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."

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

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

More Altair RapidMiner pros

"The notebook feature is an improvement over RStudio."

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

"The most valuable feature is the set of libraries that are used to support the functionality that we require."

"The virtual environment is very good."

"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."

"I can use Anaconda for non-heavy tasks."

"The most advantageous feature is the logic building."

"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."

More Anaconda Business pros

Cons

"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."

"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."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

"I would appreciate improvements in automation and customization options to further streamline processes."

"The price of this solution should be improved."

"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."

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

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

More Altair RapidMiner cons

"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."

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

"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."

"Having a small guide or video on the tool would help learn how to use it and what the features are."

"Anaconda consumes a significant amount of processing memory when working on it."

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

More Anaconda Business cons

Pricing and Cost Advice

"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."

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

"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."

"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 tool is open-source."

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

"The licensing costs for Anaconda are reasonable."

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Educational Organization

10%

Manufacturing Company

10%

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	2
Large Enterprise	10

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...

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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...

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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

Comparisons

KNIME Business Hub vs Altair RapidMiner

Compared 49% of the time

Dataiku vs Altair RapidMiner

Compared 15% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

TIBCO Statistica vs Altair RapidMiner

Compared 1% of the time

More Altair RapidMiner Competitors

Databricks vs Anaconda Business

Compared 22% of the time

Microsoft Power BI vs Anaconda Business

Compared 14% of the time

Amazon SageMaker vs Anaconda Business

Compared 9% of the time

IBM SPSS Statistics vs Anaconda Business

Compared 8% of the time

IBM Watson Studio vs Anaconda Business

Compared 5% of the time

More Anaconda Business Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

September 2025

Download Altair RapidMiner product report

Buyer's Guide

Anaconda Business

September 2025

Download Anaconda Business product report

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

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