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Precisely Trillium vs Talend Data Quality comparison

Precisely and Talend are both solutions in the Data Quality category. Precisely is ranked #18, while Talend is ranked #5 with an average rating of 8.0. Precisely holds a 1.8% mindshare in DQ, compared to Talend’s 4.9% mindshare. Additionally, 90% of Talend users are willing to recommend the solution.
Precisely Trillium
  • 248 Views
  • 246 Comparison Views
Talend Data Quality
Read 21 Talend Data Quality reviews
  • 1,324 Views
  • 1,019 Comparison Views
90% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Precisely Trillium and Talend Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality.

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To learn more, read our detailed Data Quality Report (Updated: October 2025).
Buyer's Guide
Data Quality
October 2025
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Helped 872,706 peers since 2012

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
18th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Talend Data Quality
Ranking in Data Quality
5th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
21
Ranking in other categories
Data Scrubbing Software (4th)
 

Mindshare comparison

As of October 2025, in the Data Quality category, the mindshare of Precisely Trillium is 1.8%, up from 1.7% compared to the previous year. The mindshare of Talend Data Quality is 4.9%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Talend Data Quality4.9%
Precisely Trillium1.8%
Other93.3%
Data Quality
 

Featured Reviews

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Karthik Babu - PeerSpot reviewer
Have consistently ensured data accuracy and validation with built-in algorithms
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not well-versed with the latest technology, so I cannot suggest additional functions that could make the product better or simplify my work with it. Generally, whatever jobs we have written in Talend Data Quality are working fine, so I am satisfied with that.
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872,706 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Computer Software Company
11%
Manufacturing Company
8%
Financial Services Firm
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise4
 

Questions from the Community

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What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
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What needs improvement with Talend Data Quality?
Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...
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What is your primary use case for Talend Data Quality?
We recently deployed it for one of our clients, who use it to enhance the quality of their government-related customer data. The primary focus is on ensuring compliance with government policies, an...
See all answers
 

Comparisons

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Compared 29% of the time
Spectrum Technology Platform vs Precisely Trillium Logo
Spectrum Technology Platform vs Precisely Trillium
Compared 27% of the time
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Ataccama ONE Platform vs Talend Data Quality Logo
Ataccama ONE Platform vs Talend Data Quality
Compared 19% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality
Compared 18% of the time
ibi Data Quality vs Talend Data Quality Logo
ibi Data Quality vs Talend Data Quality
Compared 11% of the time
Informatica Cloud Data Quality vs Talend Data Quality Logo
Informatica Cloud Data Quality vs Talend Data Quality
Compared 11% of the time
Melissa Data Quality vs Talend Data Quality Logo
Melissa Data Quality vs Talend Data Quality
Compared 7% of the time
More Talend Data Quality Competitors
 

Product Reports

Buyer's Guide
Data Quality
October 2025
Precisely Trillium reportDownload Precisely Trillium product report
Buyer's Guide
Talend Data Quality
October 2025
Talend Data Quality reportDownload Talend Data Quality product report
 

Also Known As

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

Overview

Syncsort is the global leader in Big Iron to Big Data software. We organize data everywhere, to keep the world working – the same data that powers machine learning, AI and predictive analytics. We use our decades of experience so that more than 7,000 customers, including 84 of the Fortune 100, can quickly extract value from their critical data anytime, anywhere. Our products provide a simple way to optimize, assure, integrate, and advance data, helping to solve for the present and prepare for the future

Precisely
The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.
Talend
 

Sample Customers

Toyota Material Handling Australia, Westpac Pacific Banking, Symphony Health, Wimbledon, OCBC Bank
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Buyer's Guide
Data Quality
October 2025
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We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.