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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
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 November 2024, in the Data Preparation Tools category, the mindshare of SAS Enterprise Guide is 23.8%, down from 27.4% compared to the previous year. The mindshare of Trifacta Wrangler Enterprise is 6.6%, down from 8.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Preparation Tools
 

Featured Reviews

Karunakar Kankata - PeerSpot reviewer
Oct 10, 2023
A predictive data analytics that lacks support for advanced modeling techniques
We use it as a comprehensive data analytics and modeling process within the banking sector. 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 management…
DR
Dec 8, 2020
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

"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."
"The point and click makes it easy to transfer the knowledge to new employees."
"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 management."
"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."
"Enabled us to remove PC SAS, which reduced risk."
"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 now mostly use the Enterprise Guide for such scheduling purposes, so error processes will not inhibit the others."
"We are using SAS Enterprise Guide on a basic level and the Pro SQL and other procedures within it are the most useful right now. Additionally, it has a wide feature set and capabilities"
"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

"They should provide more information for the errors or logs. Currently, it gives you just the error message without explaining anything."
"It is expensive."
"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."
"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."
"More bi-directional integration with the SAS Studio suite of tools is needed."
"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 to see better Charting in this solution."
"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."
"This product really needs to improve its ease of use."
 

Pricing and Cost Advice

"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."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Healthcare Company
10%
Government
10%
Computer Software Company
9%
Financial Services Firm
29%
Manufacturing Company
18%
Government
10%
Computer Software Company
8%
 

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: October 2024.
814,649 professionals have used our research since 2012.