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SAS Federation Server vs iWay Universal Adapter Framework 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

iWay Universal Adapter Fram...
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Data Integration (65th)
SAS Federation Server
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Data Virtualization (5th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. iWay Universal Adapter Framework is designed for Data Integration and holds a mindshare of 0.4%, up 0.1% compared to last year.
SAS Federation Server, on the other hand, focuses on Data Virtualization, holds 13.4% mindshare, up 1.0% since last year.
Data Integration Market Share Distribution
ProductMarket Share (%)
iWay Universal Adapter Framework0.4%
Informatica PowerCenter6.3%
SSIS5.9%
Other87.4%
Data Integration
Data Virtualization Market Share Distribution
ProductMarket Share (%)
SAS Federation Server13.4%
Denodo27.2%
TIBCO Data Virtualization18.4%
Other41.0%
Data Virtualization
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: August 2025.
867,676 professionals have used our research since 2012.
 

Also Known As

Universal Adapter Framework, Information Builders Universal Adapter Framework
Federation Server
 

Overview

 

Sample Customers

RBC, City of Cincinnati, Pershing, Brotherhood Mutual, Friends University, Nationwide, City of Richardson, Cetera Financial Group
Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Orlando Magic, OTP Group, PITT OHIO, Plano, Independent School District, RWE Poland, Spanish Air Force
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: August 2025.
867,676 professionals have used our research since 2012.