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Alteryx Designer Cloud vs SAS Enterprise Guide comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 8, 2025

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 Designer Cloud
Ranking in Data Preparation Tools
6th
Average Rating
0.0
Number of Reviews
1
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 July 2025, in the Data Preparation Tools category, the mindshare of Alteryx Designer Cloud is 9.5%, up from 7.1% compared to the previous year. The mindshare of SAS Enterprise Guide is 16.3%, down from 25.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Preparation Tools
 

Featured Reviews

reviewer1464411 - PeerSpot reviewer
Robust, great for financial decision making, and very scalable
This product really needs to improve its ease of use. The solution needs to do a better job of promoting and marketing itself. Alteryx is much better at this and as a consequence is more recognizable. Trifacta needs to showcase its technology better. It truly should encompass the A to Z execution of how you execute business process modeling in an intelligent automation form. A future release needs to be something that's easier to handle. I wouldn't say a layman should be able to use the solution as data wrangling is something that somebody has got to really be certified in. I have a friend who's worked at IBM for 30 years, and now he's just getting certified as a data scientist. However, if the solution was designed as something that really could assist a new data scientist or kids coming out of college, something that's easier for them to wrap their heads around, that would be helpful. The interface on Trifacta is way too busy. I used to do UX and it's just awful. It looks a little bit like Excel. I can't stand it. The UI of Alteryx is much, much better.
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

"It works well for data scientists and can really help them drill down on the information in order to give management tangible data points for larger business decisions."
"This solution allows for simplified working with large datasets."
"We do not bother any longer with some programs did not run, hence having to rerun them again."
"An excellent tool for data manipulation and analysis."
"Takes advantage of our Enterprise SAS Grid."
"Brought better performance by having people work on a powerful server instead of a workstation."
"We are using SAS Enterprise Guide on a basic level and the Pro SQL and other procedures within it are the most useful right now. Additionally, it has a wide feature set and capabilities"
"Statistical functionality and basic database interaction can become very straightforward for business users that don't have a background in SQL and data analysis."
"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."
 

Cons

"This product really needs to improve its ease of use."
"I would like to see integration with schedulers when run from hosting environments such as Citrix."
"Sentiment analytics would be a great feature to add into EG."
"I see no reason for limiting the process to sequential all the time."
"I feel that the performance could be increased by leveraging multi-thread with any SAS BI platform, not just the high performance ones."
"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."
"They should provide more information for the errors or logs. Currently, it gives you just the error message without explaining anything."
"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."
"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."
 

Pricing and Cost Advice

Information not available
"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."
"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."
"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."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
27%
Government
9%
Healthcare Company
9%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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

Vodafone, Stanford University, Nike, Ericsson, Samsung, Intel, Google, Thmson Reuters, Honeywell, Dow, Deloitte, Barclays
Canary Islands Statistics Institute
Find out what your peers are saying about Alteryx, Bright Data, SAS and others in Data Preparation Tools. Updated: June 2025.
860,592 professionals have used our research since 2012.