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Altair Knowledge Studio vs Anaconda comparison

 

Comparison Buyer's Guide

Executive Summary

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 May 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%, up from 2.1% 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.
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.

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 documentation is excellent and the solution has a very large and active community that supports it."
"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."
"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."
"The solution is stable."
"I can use Anaconda for non-heavy tasks."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"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."
 

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."
"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."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"The solution would benefit from offering more automation."
"It also takes up a lot of space."
"When you install Anaconda for the first time, it's really difficult to update it."
"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."
 

Pricing and Cost Advice

Information not available
"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."
"The licensing costs for Anaconda are reasonable."
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Top Industries

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

Also Known As

Angoss KnowledgeSTUDIO
No data available
 

Overview

 

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
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