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IBM Infosphere Information Analyzer vs Oracle Enterprise Data Quality (EDQ) vs Trillium Discovery 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:
 

Mindshare comparison

As of February 2026, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 2.6%, up from 2.4% compared to the previous year. The mindshare of Oracle Enterprise Data Quality (EDQ) is 3.2%, up from 1.5% compared to the previous year. The mindshare of Trillium Discovery is 1.2%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
IBM Infosphere Information Analyzer2.6%
Oracle Enterprise Data Quality (EDQ)3.2%
Trillium Discovery1.2%
Other93.0%
Data Quality
 

Featured Reviews

Tirthankar Roy Chowdhury - PeerSpot reviewer
Teamlead at Tata consultancy services
Accessible from anywhere and easy to learn even for non-technical users, but needs more connectors and faster issue resolution from technical support
What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources.
Venkatraman Bhat - PeerSpot reviewer
Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited
Fast, has good extraction, validation, and transformation features, and provides good support
Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Midsize Enterprise2
Large Enterprise7
No data available
 

Also Known As

Information Analyzer
Datanomic
TS Discovery
 

Overview

 

Sample Customers

Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
Severn Trent Water
Find out what your peers are saying about Informatica, Qlik, SAP and others in Data Quality. Updated: January 2026.
881,757 professionals have used our research since 2012.