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Altair Monarch vs Alteryx 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
Alteryx
Ranking in Data Preparation Tools
1st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
84
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (6th)
 

Mindshare comparison

As of February 2026, in the Data Preparation Tools category, the mindshare of Altair Monarch is 7.0%, down from 9.8% compared to the previous year. The mindshare of Alteryx is 9.7%, down from 27.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Preparation Tools Market Share Distribution
ProductMarket Share (%)
Alteryx9.7%
Altair Monarch7.0%
Other83.3%
Data Preparation Tools
 

Featured Reviews

LS
Account Manager at JegaSure
Transformed document processing has become foolproof with seamless data extraction
The primary use case of Altair Monarch was data extraction. I used it to process a lot of documents and data from Notepad and PDFs, converting those into structured data for basic analysis and reporting. It facilitated data preparation and data extraction effectively Altair Monarch is valuable…
Rajneesh Prajapati - PeerSpot reviewer
Senior Rpa Consultant at Accely Consulting
Time-saving workflows have transformed data preparation and predictive analysis for my team
Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.

Quotes from Members

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

Pros

"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."
"Monarch lets you quickly extract in your preferred format."
"It saves time on a lot projects. ​"
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"The Alteryx designer has been the most useful feature in the solution."
"Geo features have made spatial mapping large retail universes possible."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
 

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."
"It would be great to create the final users' visualization within Alteryx."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"Alteryx could be improved in the area of analytics and central governance."
"The pricing seems high for my current needs. However, considering the benefits, it is easier to justify to management for broader company usage."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"The price of the solution could improve by being lower."
"I'd like it to be easier to work with PDF."
 

Pricing and Cost Advice

Information not available
"The desktop platform costs $5,000 per year. It's very costly."
"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
"The designer has a list price of $5,995 USD."
"It has a good price."
"ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."
"Opt for the three year subscription. It is 20% less than the yearly one."
"There are some implementation services and internal effort costs at the beginning but there is nothing else."
"I rate the tool's pricing a two out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Government
13%
Manufacturing Company
11%
Retailer
9%
Financial Services Firm
21%
Manufacturing Company
9%
Computer Software Company
7%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise15
Large Enterprise53
 

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 is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
 

Comparisons

 

Also Known As

Monarch Data Pump
No data available
 

Overview

 

Sample Customers

MasterCard
AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Find out what your peers are saying about Altair Monarch vs. Alteryx and other solutions. Updated: December 2025.
881,733 professionals have used our research since 2012.