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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 April 2025, in the Data Preparation Tools category, the mindshare of Alteryx Designer Cloud is 7.9%, up from 8.0% 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

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."
"Takes advantage of our Enterprise SAS Grid."
"Enabled us to remove PC SAS, which reduced risk."
"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 solution is user-friendly, the resource for the query builder is very useful, and the ability to explore the data is a benefit."
"It is also compatible with other softwares, such as Excel."
"An excellent tool for data manipulation and analysis."
"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."
 

Cons

"This product really needs to improve its ease of use."
"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."
"Sentiment analytics would be a great feature to add into EG."
"It would be very useful if EG could be enhanced to automatically file and clear the project log to ensure non-stop running of the project."
"Setting up SAS Enterprise Guide is somewhat messy and complex."
"A log belongs to each program. I have experienced a situation where when I run just the exec files, it replaces the whole log and I wanted to see the earlier log, then this was not possible."
"Now that I have experience with Tableau, I think the visualization part of SAS EG could be more user friendly and easier to use. Tableau is very easy to use. It's just does a lot of work by itself, including color schemes. I think that could be incorporated easily into SAS EG, which would make it a much better product. Then you would not need Tableau."
"I would like it to give more information rather than just a forever loop that forces you to shut down the system. Give you more error messages without stopping the entire project, or even the entire application. That it displays more error messages rather than terminating the application."
"It is expensive."
 

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."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Manufacturing Company
17%
Healthcare Company
11%
Computer Software Company
9%
Financial Services Firm
24%
Healthcare Company
12%
Government
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
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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: March 2025.
845,040 professionals have used our research since 2012.