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Melissa Data Quality vs Precisely Trillium 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

Melissa Data Quality
Ranking in Data Quality
5th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Scrubbing Software (5th)
Precisely Trillium
Ranking in Data Quality
14th
Average Rating
8.0
Reviews Sentiment
3.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Quality category, the mindshare of Melissa Data Quality is 4.4%, up from 2.6% compared to the previous year. The mindshare of Precisely Trillium is 1.7%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Melissa Data Quality4.4%
Precisely Trillium1.7%
Other93.9%
Data Quality
 

Featured Reviews

GM
Data Architect at World Vision
SSIS MatchUp Component is Amazing
- Scalability is a limitation as it is single threaded. You can bypass this limitation by partitioning your data (say by alphabetic ranges) into multiple dataflows but even within a single dataflow the tool starts to really bog down if you are doing survivorship on a lot of columns. It's just very old technology written that's starting to show its age since it's been fundamentally the same for many years. To stay relavent they will need to replace it with either ADF or SSIS-IR compliant version. - Licensing could be greatly simplified. As soon as a license expires (which is specific to each server) the product stops functioning without prior notice and requires a new license by contacting the vendor. And updating the license is overly complicated. - The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation but that isn't true since pretty much all SSIS components are resizable except theirs! This is just an annoyance but needless impact on productivity when developing new data flows. - The tool needs to provide for incremental matching using the MatchUp for SSIS tool (they provide this for other solutions such as standalone tool and MatchUp web service). We had to code our own incremental logic to work around this. - Tool needs ability to sort mapped columns in the GUI when using advanced survivorship (only allowed when not using column-level survivorship). - It should provide an option for a procedural language (such as C# or VB) for survivor-ship expressions rather than relying on SSIS expression language. - It should provide a more sophisticated ability to concatenate groups of data fields into common blocks of data for advanced survivor-ship prioritization (we do most of this in SQL prior to feeding the data to the tool). - It should provide the ability to only do survivor-ship with no matching (matching is currently required when running data through the tool). - Tool should provide a component similar to BDD to enable the ability to split into multiple thread matches based on data partitions for matching and survivor-ship rather than requiring custom coding a parallel capable solution. We broke down customer data by first letter of last name into ranges of last names so we could run parallel data flows. - Documentation needs to be provided that is specific to MatchUp for SSIS. Most of their wiki pages were written for the web service API MatchUp Object rather than the SSIS component. - They need to update their wiki site documentation as much of it is not kept current. Its also very very basic offering very little in terms of guidelines. For example, the tool is single-threaded so getting great performance requires running multiple parallel data flows or BDD in a data flow which you can figure out on your own but many SSIS practitioners aren't familiar with those techniques. - The tool can hang or crash on rare occasions for unknown reason. Restarting the package resolves the problem. I suspect they have something to do with running on VM (vendor doesn't recommend running on VM) but have no evidence to support it. When it crashes it creates dump file with just vague message saying the executable stopped running.
reviewer2775918 - PeerSpot reviewer
Managing Partner at a tech vendor with 501-1,000 employees
Offers solid data quality functions and continues to evolve with opportunities in AI integration
Precisely Trillium's best features include being a very comprehensive solution in terms of data quality. There are different types of data quality tools, and what Infogix had before being bought by Precisely focused more on reconciliation, whereas Precisely Trillium actually focused on correcting errors within the data set itself. This is a different perspective on data quality. Some of the functions and features that Infogix did in their data quality solution are different than the functions and features that Precisely Trillium did. The data profiling feature of Precisely Trillium helps improve data integrity for certain clients by emphasizing the principle of bad data in, bad data out. It's important to have a data quality tool to ensure that your data is good because any calculations and business decisions that are made on this data are only as good as the data itself. It's extremely important to have good quality data, and Precisely Trillium serves to ensure the data quality.

Quotes from Members

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

Pros

"We use their GeoPoints to get the most precise, rooftop level geocoding."
"It gives me an assessed value of the property in question. My partner and I are property investors, and it's good to get an assessed value to cull out properties that we're not interested in."
"The customers' addresses are now complete, correct and follow one consistent format."
"Extremely easy to install and setup."
"​Initial setup was fairly straightforward. The documentation was very good in terms of how to integrate and consume the service(s) that we use. It did not take an abundance of time to set up things on our side to use the service."
"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."
"Gives us the ability to offer an additional resource that other companies do not."
"We ran a standard name, address, and zip code, internal dedupe between the different files we had purchased, and we were able to quickly notify our vendor that they had tens of thousands of duplications that they were not even aware of."
"Precisely Trillium's best features include being a very comprehensive solution in terms of data quality."
 

Cons

"Tech support at Melissa Data was very quick to wash their hands of an issue and say it's IT policies on my side that are causing the issue. There was no offer to try and find a work-around. Just an overwhelming attitude of "it’s not our problem.""
"Did not work as advertized. Needs better results in address parsing, as described on the website."
"To continually update the database with NAICS codes on businesses."
"Address validation and parsing in a few countries have room for improvement."
"Many issues, sometimes I have to completely log out and start over."
"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed"
"An area for improvement is where an end customer's address is not found in the Melissa Data database, even though it is a valid address."
"MatchUp is a more complex product and I recommend a test area before upgrading to production. Performance can change from version to version."
"There's always room for improvement with Precisely Trillium. The hottest thing right now is AI, and leveraging artificial intelligence to enhance your data quality is always a plus."
 

Pricing and Cost Advice

"Pricing is very reasonable."
"Trial subscriptions (via cloud) are very cheap and easy to use. It’s a great way to test Listware to see if you want to go deeper with integration."
"Be sure to determine how the data is priced (record-based versus credit-based or some hybrid of data and services)."
"I think it's worth the value for me to run it."
"Pricing is very reasonable, no licensing required."
"NCOA address verification was a requirement from USPS to send out the mailers. This was the only option that charged per address which was extremely helpful since we are a small non-profit school."
"Fully understand your volume, both monthly and annually. Speak with a Melissa account manager, they will put together an effective solution to meet your needs."
"Depends on situation. We prefer to have data onsite, but some might prefer web access."
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Top Industries

By visitors reading reviews
Insurance Company
15%
Educational Organization
6%
Manufacturing Company
6%
Computer Software Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise3
Large Enterprise14
No data available
 

Questions from the Community

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What is your experience regarding pricing and costs for Precisely Trillium?
I don't remember all the details about the pricing for Precisely Trillium as it was a while ago, but it was competitive. It was a premium product on a larger, higher end pricing tier. Even the Info...
What needs improvement with Precisely Trillium?
There's always room for improvement with Precisely Trillium. The hottest thing right now is AI, and leveraging artificial intelligence to enhance your data quality is always a plus. That's probably...
What is your primary use case for Precisely Trillium?
I'm more familiar with Precisely Trillium because Precisely acquired Data360, which they marketed for data governance. Precisely Trillium is a product that competes against Collibra and Alation. Al...
 

Also Known As

No data available
Syncsort Trillium, Trillium, TSS, Syncsort Trillium Software System
 

Overview

 

Sample Customers

Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
Toyota Material Handling Australia, Westpac Pacific Banking, Symphony Health, Wimbledon, OCBC Bank
Find out what your peers are saying about Informatica, Qlik, SAP and others in Data Quality. Updated: January 2026.
881,733 professionals have used our research since 2012.