SAS Data Loader For Hadoop vs Trifacta Wrangler Enterprise comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

SAS Data Loader For Hadoop
Ranking in Data Preparation Tools
8th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Trifacta Wrangler Enterprise
Ranking in Data Preparation Tools
5th
Average Rating
0.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

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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.

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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
32%
Manufacturing Company
11%
Educational Organization
9%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Also Known As

Data Loader For Hadoop
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Overview

 

Sample Customers

Information Not Available
Vodafone, Stanford University, Nike, Ericsson, Samsung, Intel, Google, Thmson Reuters, Honeywell, Dow, Deloitte, Barclays
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