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Alteryx vs SAS Enterprise Guide comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 10, 2024

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

Alteryx
Ranking in Data Preparation Tools
1st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
81
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (5th)
SAS Enterprise Guide
Ranking in Data Preparation Tools
2nd
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 April 2025, in the Data Preparation Tools category, the mindshare of Alteryx is 26.7%, down from 35.7% compared to the previous year. The mindshare of SAS Enterprise Guide is 19.3%, down from 26.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Preparation Tools
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
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

"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"It's super easy to learn how to use it — the learning curve is very small."
"Predictive models, which are easy to use, and help a lot with fast design and deployment​."
"Alteryx is a simple and easy-to-use solution."
"It is a stable and scalable solution."
"The product's Macros probably are one of the most useful aspects."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"The solution has been stable."
"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."
"Takes advantage of our Enterprise SAS Grid."
"Statistical functionality and basic database interaction can become very straightforward for business users that don't have a background in SQL and data analysis."
"Brought better performance by having people work on a powerful server instead of a workstation."
"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."
"It is also compatible with other softwares, such as Excel."
"We now mostly use the Enterprise Guide for such scheduling purposes, so error processes will not inhibit the others."
"The product has a drag-and-drop feature that is excellent for business users and that makes it easy-to-use."
 

Cons

"The workflow and pipeline need to improve."
"The software is not fully optimized."
"It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change."
"I honestly can't think of anything that needs to be improved."
"The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user."
"Lacks an open source edition which would be helpful."
"I would like to see integration with schedulers when run from hosting environments such as Citrix."
"Recently, we realized that SAS Enterprise Guide is not so stable and gives us some outputs which are not suitable...Sometimes it's quite hard to report its stability issues."
"The product is missing a visualization component so we have to use a separate tool for visualization."
"More bi-directional integration with the SAS Studio suite of tools is needed."
"The stability is not very reliable."
"Our data warehouse is built on the Netezza database. We have SAS BI, and we populate the Netezza database. When we have tables with, for example, a hundred million rows in Netezza, SAS Enterprise Guide doesn't work. It doesn't return any results. It works for around 30 to 40 million rows, but it is not working for anything more than that. This issue is only with the Netezza database. With Oracle, it is quite good. They can improve its performance with the Netezza database. There should be one unique tool that includes SAS Data Integration Studio and SAS Enterprise Guide for more integration capabilities. With SAS Enterprise Guide, it is not possible to create connections and libraries and build transformations that can be used for other projects. This tool should have all capabilities that SAS Enterprise Guide does not have. Such a tool would be perfect because it will be used by developers and business users at the same time. In addition to the integration capabilities, they should also provide more deployment capabilities. There should be an option to easily create SAS packages and export them from one environment to another. There could also be a possibility to connect with R and Python. Open-source tools are hot in the market nowadays, and it would be good to extend its capabilities."
"Setting up SAS Enterprise Guide is somewhat messy and complex."
"For some of the advanced functions, you need to learn some SAS code to get what you want."
 

Pricing and Cost Advice

"​Very transparent.​"
"My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."
"Opt for the three year subscription. It is 20% less than the yearly one."
"I don't know much about the licensing, but there are some additional costs for certain features."
"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."
"The cost of the solution could be reduced."
"There are some implementation services and internal effort costs at the beginning but there is nothing else."
"Alteryx isn't extortionately expensive, but it's not cheap either."
"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."
"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."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
6%
Financial Services Firm
24%
Healthcare Company
12%
Government
10%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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...
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...
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Canary Islands Statistics Institute
Find out what your peers are saying about Alteryx vs. SAS Enterprise Guide and other solutions. Updated: March 2025.
845,406 professionals have used our research since 2012.