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Precisely Trillium vs Syniti Data Quality 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

Precisely Trillium
Ranking in Data Quality
13th
Average Rating
8.0
Reviews Sentiment
3.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Syniti Data Quality
Ranking in Data Quality
12th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Data Quality category, the mindshare of Precisely Trillium is 1.7%, up from 1.2% compared to the previous year. The mindshare of Syniti Data Quality is 3.6%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Syniti Data Quality3.6%
Precisely Trillium1.7%
Other94.7%
Data Quality
 

Featured Reviews

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.
RA
Delivery Head at ApikinFotech
Offers predefined rules and easy to migrate data with minimum customisation of rules
The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage. We should be able to tune the existing process by using simple SQL queries based on the customer's requirements. In future releases, I would like to see more features around Preload and postload reports. From the end-user point of view, it is not very feasible to read. I need to know how the data has been migrated. I need to know whether the complete data has been migrated, only the required data has been migrated, and how it was migrated. So the postload reports will give validation between the source data and the target source. It would give exact picture of the data migration.

Quotes from Members

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

Pros

"Precisely Trillium's best features include being a very comprehensive solution in terms of data quality."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"The customer service and support is good."
"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."
"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."
 

Cons

"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."
"It would be good if Syniti Data Quality could integrate more AI in the future."
"The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
 

Pricing and Cost Advice

Information not available
"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
"The solution is expensive."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
17%
Retailer
8%
Consumer Goods Company
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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...
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Also Known As

Syncsort Trillium, Trillium, TSS, Syncsort Trillium Software System
Syniti DQ
 

Overview

 

Sample Customers

Toyota Material Handling Australia, Westpac Pacific Banking, Symphony Health, Wimbledon, OCBC Bank
Kraft Foods, Puget Sound Energy
Find out what your peers are saying about Informatica, Qlik, SAP and others in Data Quality. Updated: March 2026.
885,789 professionals have used our research since 2012.