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Alteryx Designer Cloud vs SAS Enterprise Guide comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 4, 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
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 March 2025, in the Data Preparation Tools category, the mindshare of Alteryx Designer Cloud is 7.0%, down from 8.3% compared to the previous year. The mindshare of SAS Enterprise Guide is 21.9%, down from 26.8% 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."
"The product has a drag-and-drop feature that is excellent for business users and that makes it easy-to-use."
"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."
"It is also compatible with other softwares, such as Excel."
"Brought better performance by having people work on a powerful server instead of a workstation."
"SAS EG offers many excellent features, such as parallel execution on the same server, controlling output datasets in the process flow, and conditional processing."
"We are able to work on the server, and I can copy a data set and share it with someone in my team. Similarly, if I want some data from them, I can get it. Being able to work on the server and being able to switch from one user to another is a good thing. It is reliable and powerful, and its community is very wide."
"The point and click makes it easy to transfer the knowledge to new employees."
"Filter and sort query builder is valuable. The ability to do advanced SAS programming is also a useful feature because we can do anything by using Enterprise Guide. It has a lot of functionalities. We can build ETL processes. There are clients who are using SAS Enterprise Guide to build ETL processes. They have a SAS-based program that is scheduled to run at a certain frequency to produce some reports for the business. It is a very useful tool for ETL unit tests and functional tests. You can also do data science projects in SAS Enterprise Guide by using different statistics. During my MBA, we used SAS Enterprise Guide for our statistic course. To query the data, there are many solutions such as SQL, but these tools are only a part of the integration. They are only useful for querying the data and require knowledge of SQL, so they are not suitable for business users. SAS Enterprise Guide can be very easily used by business users to filter and sort the data and build queries. It is not necessary to have coding skills to use SAS Enterprise Guide. For this reason, it is attractive for businesses."
 

Cons

"This product really needs to improve its ease of use."
"The stability is not very reliable."
"The technical support response time has been consistently slow, and this has been a concern."
"They should provide more information for the errors or logs. Currently, it gives you just the error message without explaining anything."
"The product is missing a visualization component so we have to use a separate tool for visualization."
"There needs to be a community of SAS Enterprise Guide users for assistance. For example, as they do for Python or SQL."
"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 would like to see better Charting in this solution."
"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."
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
20%
Healthcare Company
11%
Computer Software Company
9%
Financial Services Firm
24%
Healthcare Company
11%
Government
10%
Computer Software Company
10%
 

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, SAS, Bright Data and others in Data Preparation Tools. Updated: February 2025.
839,422 professionals have used our research since 2012.