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SAS Enterprise Guide vs Trifacta Wrangler Enterprise comparison

 

Comparison Buyer's Guide

Executive Summary

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

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
Trifacta Wrangler Enterprise
Ranking in Data Preparation Tools
6th
Average Rating
0.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Data Preparation Tools category, the mindshare of SAS Enterprise Guide is 22.5%, down from 27.1% compared to the previous year. The mindshare of Trifacta Wrangler Enterprise is 7.0%, down from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Preparation Tools
 

Featured Reviews

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.
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Scheduling downtime of some programs has been eliminated."
"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."
"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."
"Enterprise Guide is much better at generating reports than many solutions. We often use it to generate reports, and people interpret them how they like. They often probably use Excel spreadsheets or something like that after they get our data."
"One of the features of the SAS Enterprise Guide is that it has a server, and we can access the server."
"The Query Builder is very valuable."
"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."
"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."
 

Cons

"Machine learning is not utilized and that could enhance the product."
"The product is missing a visualization component so we have to use a separate tool for visualization."
"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."
"I see no reason for limiting the process to sequential all the time."
"The technical support response time has been consistently slow, and this has been a concern."
"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."
"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."
"This product really needs to improve its ease of use."
 

Pricing and Cost Advice

"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."
"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."
"The pricing and associated costs are substantial."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Healthcare Company
11%
Government
10%
Computer Software Company
10%
Financial Services Firm
23%
Manufacturing Company
19%
Government
12%
Healthcare Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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...
Ask a question
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Overview

 

Sample Customers

Canary Islands Statistics Institute
Vodafone, Stanford University, Nike, Ericsson, Samsung, Intel, Google, Thmson Reuters, Honeywell, Dow, Deloitte, Barclays
Find out what your peers are saying about Alteryx, SAS, Bright Data and others in Data Preparation Tools. Updated: February 2025.
837,501 professionals have used our research since 2012.