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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
11th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Scrubbing Software (4th)
Precisely Trillium
Ranking in Data Quality
15th
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 August 2026, in the Data Quality category, the mindshare of Melissa Data Quality is 4.0%, up from 3.0% compared to the previous year. The mindshare of Precisely Trillium is 1.6%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Melissa Data Quality4.0%
Precisely Trillium1.6%
Other94.4%
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

"Melissa Data is often best for the price, quality, thoroughness, and speed."
"We have been able to avoid costly duplication of data and effort, and verifying has increased the accuracy of our target marketing efforts."
"There have been tangible benefits in combating fraudulent transactions. The information from Melissa Data is fed straight into our fraud system. This creates efficiency but also removes the need for manual address checks."
"By far the best pricing and licensing option we have found for a small organization, since we can buy credits in small increments and they don't expire."
"Services for all manner of data-driven organizations, no matter their size or budget."
"We use a Melissa API to access the data, so it easy to use, accurate, and fast."
"I believe the Melissa Data products are very good."
"The customers' addresses are now complete, correct and follow one consistent format."
"Precisely Trillium's best features include being a very comprehensive solution in terms of data quality."
 

Cons

"Address validation and parsing in a few countries have room for improvement."
"It would be great if the product can be expanded to standardize and clean Telephone Numbers and TaxID’s/SSN’s."
"Need to POC point of entry validation."
"We are very pleased with the pricing but they need to have some good licence tracking mechanism."
"Needs more/better search tools are needed. Also, state and local tax data would be nice."
"​If I had multiple Excel files open and ran Listware it would crash Excel, charge the credits, and not save the results."
"Pricing model."
"The custom software solution we still use in-house makes Excel a lot slower than usual."
"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

"Understand how may transactions you will be processing so that you can get the right tier pricing."
"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."
"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."
"Pricing is very reasonable, no licensing required."
"The price for address validation is similar in all software. However, the price for geocoding decides the actual pricing. If you get their most accurate geocoding (called GeoPoints), then it will add about $10k+ per million requests."
"They were willing to work with our preferred vendors, though it involved extra steps to get the license."
"Generally, the cost is ROI positive, depending on your shipping volume."
Information not available
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Top Industries

By visitors reading reviews
Construction Company
20%
Outsourcing Company
10%
Healthcare Company
6%
Comms Service Provider
6%
Financial Services Firm
22%
Comms Service Provider
14%
Construction Company
12%
Real Estate/Law Firm
8%
 

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, Ataccama and others in Data Quality. Updated: July 2026.
908,834 professionals have used our research since 2012.