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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."
"Takes advantage of our Enterprise SAS Grid."
"Scheduling downtime of some programs has been eliminated."
"One of the features of the SAS Enterprise Guide is that it has a server, and we can access the server."
"An excellent tool for data manipulation and analysis."
"Areas where SAS EG does a better job than regular SAS are in the realm of importing and exporting data. For instance, exporting a SAS data set in Unix to an Excel spreadsheet on a PC is a simple task compared to doing the same task with Base SAS."
"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."
"The data cleaning part is valuable. SAS is a very powerful tool to work with and connect with different sources. We have several tables, and we are looking up tables from one place to another place. We are connecting with different data sources. The data is not coming from one source. There are several sources of data, and we have information coming from different sources. There are some flat files, and there is some information from the data warehouse."
"The solution is user-friendly, the resource for the query builder is very useful, and the ability to explore the data is a benefit."
 

Cons

"This product really needs to improve its ease of use."
"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 would like to see integration with schedulers when run from hosting environments such as Citrix."
"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."
"Machine learning is not utilized and that could enhance the product."
"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 technical support response time has been consistently slow, and this has been a concern."
"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."
"I see no reason for limiting the process to sequential all the time."
 

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."
"It is very expensive. We have a basic license, and there are many features that are not available with the basic version."
"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."
"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."
"Management liked it a lot because the license per seat was cheaper than a traditional SAS environment."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
27%
Government
8%
Healthcare Company
8%
Insurance Company
8%
 

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.
861,524 professionals have used our research since 2012.