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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
11th
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 January 2026, in the Data Quality category, the mindshare of Melissa Data Quality is 3.4%, up from 2.5% compared to the previous year. The mindshare of Precisely Trillium is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Melissa Data Quality3.4%
Precisely Trillium1.7%
Other94.9%
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

"The customers' addresses are now complete, correct and follow one consistent format."
"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."
"​It has a straightforward, easy 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."
"Our customer database is now significantly more accurate and reliable."
"Helps our organization provide accurate address information to our customers for direct mailing (household) and other campaigns they want to do."
"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."
"Ability to validate addresses, make corrections to address."
"Precisely Trillium's best features include being a very comprehensive solution in terms of data quality."
 

Cons

"The SSIS component setup seems a little klunky."
"Many issues, sometimes I have to completely log out and start over."
"One thing I would want to have, when you're doing a property search, you can do it either on the FIPS in the APN number or the address itself. For some entries, I'll have the APN number, and some I'll have the address. Apparently it cannot process something when both the FIPS-APN and the address are on there. I have to sort, once with one and once with the other, which is a little bit of a pain."
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate.​"
"To continually update the database with NAICS codes on businesses."
"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed"
"Needs more/better search tools are needed. Also, state and local tax data would be nice."
"The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation however all SSIS components are resizable so that isn't true. This is just an annoyance but needless."
"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

"Melissa pricing is competitive."
"I think it's worth the value for me to run it."
"Pricing is very reasonable."
"​We are concerned that our own pricing is going up every year for Melissa Data products, but we highly recommend the services for people who are routinely sending out mailings."
"Generally, the cost is ROI positive, depending on your shipping volume."
"​You should have a good idea of the size of your data and the amount of cleansing you will be doing, so you will purchase the appropriate size bundle.​"
"Be sure to determine how the data is priced (record-based versus credit-based or some hybrid of data and services)."
"Buy a lot more credits than you think you’re going to need."
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Top Industries

By visitors reading reviews
Insurance Company
15%
Manufacturing Company
9%
Educational Organization
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, SAP, Qlik and others in Data Quality. Updated: January 2026.
881,082 professionals have used our research since 2012.