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

Altair Monarch vs SAS Enterprise Guide 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 Monarch
Ranking in Data Preparation Tools
4th
Average Rating
9.6
Reviews Sentiment
8.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
SAS Enterprise Guide
Ranking in Data Preparation Tools
3rd
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
24
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Preparation Tools category, the mindshare of Altair Monarch is 10.4%, down from 10.6% compared to the previous year. The mindshare of SAS Enterprise Guide is 15.9%, down from 24.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Preparation Tools
 

Featured Reviews

LS
Transformed document processing has become foolproof with seamless data extraction
Altair Monarch ( /products/altair-monarch-reviews ) is valuable because it allows a one-time setup for data extraction, making the process extremely easy with just a few clicks to get the output. It is foolproof and ensures perfect extraction as long as the models and templates remain standard, providing a seamless and error-free experience.
Karunakar Kankata - PeerSpot reviewer
A predictive data analytics that lacks support for advanced modeling techniques
I find it challenging when I need to use certain functions and predictive modeling techniques in SAS. The procedures and data steps for database analysis take longer, and I've noticed that the current version we are using, lacks support for advanced modeling techniques. We've requested support for these advanced algorithms, but it seems there have been challenges in implementing them. As a result, we are facing difficulties in developing advanced models. Another issue we've encountered is that the community support for SAS is relatively limited compared to open-source environments.

Quotes from Members

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

Pros

"Monarch lets you quickly extract in your preferred format."
"Altair Monarch is valuable because it allows a one-time setup for data extraction, making the process extremely easy with just a few clicks to get the output."
"We do not bother any longer with some programs did not run, hence having to rerun them again."
"It has definitely improved our communication with senior management."
"It streamlines our workflow involving multiple steps, from data extraction to modeling, and it is aimed at improving various aspects of banking operations, including customer retention and risk management."
"This solution allows for simplified working with large datasets."
"Similar to Microsoft Access, you can drag and drop. You can simply drag and drop objects onto the page and create various flows to establish your query within the project. You can extract those queries from the preview as needed."
"Enterprise Guide is much better at generating reports than many solutions. We often use it to generate reports, and people interpret them how they like. They often probably use Excel spreadsheets or something like that after they get our data."
"In Daman, I had used the data module, where you can join the table and take whatever data we require for our work. You join tables and create columns as you wish, then analyze data in various ways depending on what the problem is. We used it to detect fraud, abnormalities, anomalies, abnormal trends, etc. It's also good for exporting and importing tables."
"An excellent tool for data manipulation and analysis."
 

Cons

"I rate Altair Monarch seven out of 10 for affordability. Recently, the pricing model changed from end-user licensing to a concurrent licensing model."
"I had difficulty with the diagrammatic flow chart style representation of projects. When projects got too large and complex (which was basically every project, except the most trivial). There just wasn't enough real estate to display the flow chart and dependencies without a lot of scrolling, even when a flow was down to minimum tasks. My recourse was making the flow less "atomic". E.g., rather than use the various subset, etc., tasks as program nodes to display the details, I would write chunks of code that did a few things and use them as SAS program nodes."
"It is expensive."
"The stability is not very reliable."
"For some of the advanced functions, you need to learn some SAS code to get what you want."
"Sentiment analytics would be a great feature to add into EG."
"More bi-directional integration with the SAS Studio suite of tools is needed."
"We don't use SAS Enterprise Guide that much here because we haven't explored some of the statistical modeling capabilities. However, I do not think SAS Enterprise Guide provides all the machine learning features that we want. Those would be separate products from SAS, such as SAS Buyers or any of the other solutions, which will give us the capabilities that we are looking for."
"I feel that the performance could be increased by leveraging multi-thread with any SAS BI platform, not just the high performance ones."
 

Pricing and Cost Advice

Information not available
"It is expensive. We get a different price based on our corporate rate. So, I'm not sure what the general cost is because we got a special rate for it."
"Management liked it a lot because the license per seat was cheaper than a traditional SAS environment."
"It is very expensive. We have a basic license, and there are many features that are not available with the basic version."
"The pricing and associated costs are substantial."
"I did look at the prices a few years ago, and I believe it was approximately $1,000 for a yearly subscription at that time."
"In general, SAS has high prices, which is a reason why some clients don't use SAS solutions. The licensing is on a yearly basis."
report
Use our free recommendation engine to learn which Data Preparation Tools solutions are best for your needs.
864,155 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
25%
Manufacturing Company
12%
Retailer
11%
Government
9%
Financial Services Firm
26%
Government
9%
Healthcare Company
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 Monarch?
I was not involved in pricing, but I did not encounter any issues with renewals, and the process was always smooth and straightforward.
What is your primary use case for Altair Monarch?
The primary use case of Altair Monarch ( /products/altair-monarch-reviews ) was data extraction. I used it to process a lot of documents and data from Notepad and PDFs, converting those into struct...
What advice do you have for others considering Altair Monarch?
The support team is diligent, following up thoroughly and setting up calls promptly when a ticket is raised. It is beneficial for any assistance needed. The overall rating for Altair Monarch is ten...
What do you like most about SAS Enterprise Guide?
It streamlines our workflow involving multiple steps, from data extraction to modeling, and it is aimed at improving various aspects of banking operations, including customer retention and risk man...
What needs improvement with SAS Enterprise Guide?
I find it challenging when I need to use certain functions and predictive modeling techniques in SAS. The procedures and data steps for database analysis take longer, and I've noticed that the curr...
 

Also Known As

Monarch Data Pump
No data available
 

Overview

 

Sample Customers

MasterCard
Canary Islands Statistics Institute
Find out what your peers are saying about Altair Monarch vs. SAS Enterprise Guide and other solutions. Updated: July 2025.
864,155 professionals have used our research since 2012.