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Oracle Data Quality vs Trillium Quality comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Oracle Data Quality
Ranking in Data Quality
10th
Average Rating
8.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Trillium Quality
Ranking in Data Quality
15th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2024, in the Data Quality category, the mindshare of Oracle Data Quality is 1.8%, down from 2.5% compared to the previous year. The mindshare of Trillium Quality is 2.0%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Venkatraman Bhat - PeerSpot reviewer
Sep 14, 2022
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.
it_user157932 - PeerSpot reviewer
Oct 26, 2014
Approach your problem incrementally – get quick wins and then improve rather than a big bang approach.
Ease of data profiling and discovery to uncover hidden data risks and issues. South African name and address parsing, geocoding and matching About 10 years. None. The only limitations are in terms of available disk space. Users should ensure that they cater for the necessary disk space for…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pricing and Cost Advice

"The vendor needs to revisit their pricing strategy."
"The price of this solution is comparable to other similar solutions."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
9%
Manufacturing Company
9%
Wholesaler/Distributor
5%
Financial Services Firm
18%
Computer Software Company
10%
Insurance Company
8%
Hospitality Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Oracle Data Quality?
The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. ...
What needs improvement with Oracle Data Quality?
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 m...
What is your primary use case for Oracle Data Quality?
We're mostly using Oracle Data Quality during the ETVL process, or to make sure that there's one source of truth and that there's no redundancy at all. We're also using the solution for quality ass...
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Also Known As

Datanomic
Trillium Software System
 

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Overview

 

Sample Customers

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,
Absa, Alstom, AT&T, Banco Popular, British Airwys, Canon, Cendant, Chaucer, Dela Cooperative, FedEx, GroupeAeroplan, HSBC, Iceland Frozen Foods, Littlewoods, Microsoft, UK Ministry of Defence, Norwich Union, Oki Data, Prudential UK, Porsche, Severn Trent Water, Carphone Warehouse, Trans Union, Wales & West Utilities
Find out what your peers are saying about Informatica, SAP, Syniti and others in Data Quality. Updated: September 2024.
813,161 professionals have used our research since 2012.