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SAS Enterprise Guide vs Trifacta Wrangler Enterprise comparison

 

Comparison Buyer's Guide

Executive Summary
 

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 December 2024, in the Data Preparation Tools category, the mindshare of SAS Enterprise Guide is 23.4%, down from 26.8% compared to the previous year. The mindshare of Trifacta Wrangler Enterprise is 7.3%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Preparation Tools
 

Featured Reviews

Marcelo Amado - PeerSpot reviewer
Has a valuable query builder feature and helps to create views and filters
Our primary use case for the solution is creating views and filters, and we deploy the solution on-premises The query builder feature is the most valuable. The stability of the solution can be improved.  We have been using the solution for approximately three years and currently use version…
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

"The solution is user-friendly, the resource for the query builder is very useful, and the ability to explore the data is a benefit."
"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."
"Enabled us to remove PC SAS, which reduced risk."
"We now mostly use the Enterprise Guide for such scheduling purposes, so error processes will not inhibit the others."
"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."
"Takes advantage of our Enterprise SAS Grid."
"The query builder feature is the most valuable."
"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

"There needs to be a community of SAS Enterprise Guide users for assistance. For example, as they do for Python or SQL."
"Machine learning is not utilized and that could enhance the product."
"Sentiment analytics would be a great feature to add into EG."
"They should provide more information for the errors or logs. Currently, it gives you just the error message without explaining anything."
"Setting up SAS Enterprise Guide is somewhat messy and complex."
"The stability is not very reliable."
"It is expensive."
"I would like to see integration with schedulers when run from hosting environments such as Citrix."
"This product really needs to improve its ease of use."
 

Pricing and Cost Advice

"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."
"Management liked it a lot because the license per seat was cheaper than a traditional SAS environment."
"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
24%
Healthcare Company
11%
Government
9%
Computer Software Company
9%
Financial Services Firm
20%
Manufacturing Company
17%
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...
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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: November 2024.
824,053 professionals have used our research since 2012.