Try our new research platform with insights from 80,000+ expert users

Altair Knowledge Studio vs Anaconda comparison

Altair and Anaconda are both solutions in the Data Science Platforms category. Altair is ranked #22 with an average rating of 8.0, while Anaconda is ranked #11 with an average rating of 8.8. Altair holds a 0.3% mindshare in Data Science Platforms, compared to Anaconda’s 2.1% mindshare. Additionally, 100% of Altair users are willing to recommend the solution, compared to 95% of Anaconda users who would recommend it.
Altair Knowledge Studio
Read 2 Altair Knowledge Studio reviews
  • 204 Views
  • 152 Comparison Views
100% willing to recommend
Anaconda
Read 19 Anaconda reviews
  • 1,469 Views
  • 1,198 Comparison Views
95% willing to recommend
 

Comparison Buyer's Guide

Download the report
Executive Summary
We performed a comparison between Altair Knowledge Studio and Anaconda based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Data Science Platforms Report (Updated: March 2025).
Buyer's Guide
Data Science Platforms
March 2025
Download the complete report
Helped 847,959 peers since 2012

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 Knowledge Studio
Ranking in Data Science Platforms
22nd
Average Rating
8.0
Reviews Sentiment
8.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Anaconda
Ranking in Data Science Platforms
11th
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 0.3%, up from 0.2% 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

LS
Advanced decision trees and seamless data pattern analysis transform data preparation
One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools. The Segment ( /products/segment-reviews ) Viewer is another unique feature that provides a comprehensive view of data patterns and helps identify anomalies before creating decision trees. Additionally, the ability to export code in the language of SAS is valuable, and the tool's drag-and-drop functionality makes it accessible to business users without a coding background.
Read full review
Rohan Sharma - PeerSpot reviewer
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

"One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"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."
"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 documentation is excellent and the solution has a very large and active community that supports it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
More Anaconda pros
 

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."
"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."
"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."
"It also takes up a lot of space."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"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."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
More Anaconda cons
 

Pricing and Cost Advice

Information not available
"The licensing costs for Anaconda are reasonable."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"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 tool is open-source."
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
See recommendations
847,959 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
9%
Manufacturing Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Altair Knowledge Studio?
The licensing is straightforward, and we have not encountered any pushbacks from our procurement team. The pricing is on par with market competitors.
See all answers
What needs improvement with Altair Knowledge Studio?
It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation. Having all these functionalities wi...
See all answers
What is your primary use case for Altair Knowledge Studio?
I used Altair Knowledge Studio ( /products/altair-knowledge-studio-reviews ) mainly for data preparation and creating decision trees. We used SAS for data preparation and decision trees in Altair K...
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 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
 

Comparisons

Databricks vs Altair Knowledge Studio Logo
Databricks vs Altair Knowledge Studio
Compared 100% of the time
More Altair Knowledge Studio Competitors
Databricks vs Anaconda Logo
Databricks vs Anaconda
Compared 35% of the time
Amazon SageMaker vs Anaconda Logo
Amazon SageMaker vs Anaconda
Compared 12% of the time
Microsoft Power BI vs Anaconda Logo
Microsoft Power BI vs Anaconda
Compared 12% of the time
Microsoft Azure Machine Learning Studio vs Anaconda Logo
Microsoft Azure Machine Learning Studio vs Anaconda
Compared 7% of the time
KNIME vs Anaconda Logo
KNIME vs Anaconda
Compared 5% of the time
More Anaconda Competitors
 

Product Reports

Buyer's Guide
Data Science Platforms
March 2025
Altair Knowledge Studio reportDownload Altair Knowledge Studio product report
Buyer's Guide
Anaconda
April 2025
Anaconda reportDownload Anaconda product report
 

Also Known As

Angoss KnowledgeSTUDIO
No data available
 

Overview

Business intelligence and predictive analytics software suite from Angoss Software Corporation. KnowledgeSTUDIO is a market-leading business intelligence software product with data mining and predictive analytics capabilities including data profiling, advanced data visualization, advanced modeling, unsupervised learning, decision tree and strategy design functionality.

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

Anaconda
 

Sample Customers

HSBC, MBNA, US Ban Corp, MasterCard Worldwide, Invesco, Citi Bank, ATB Financial, PayPal, Bajaj Finserv
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Buyer's Guide
Data Science Platforms
March 2025
Download Free Report
Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms. Updated: March 2025.
DOWNLOAD NOW
847,959 professionals have used our research since 2012.
See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.