Precisely Trillium vs Qlik Talend Cloud comparison

Precisely and Qlik are both solutions in the Data Quality category. Precisely is ranked #11 with an average rating of 8.0, while Qlik is ranked #3 with an average rating of 8.0. Precisely holds a 1.7% mindshare in DQ, compared to Qlik’s 6.6% mindshare. Additionally, 100% of Precisely users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

Precisely Trillium

Read 1 Precisely Trillium review

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276 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 54 Qlik Talend Cloud reviews

6,400 Views
1,344 Comparison Views

88% willing to recommend

Precisely Trillium

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 18, 2025

Qlik Talend Cloud and Precisely Trillium compete in data integration and data quality. Qlik Talend Cloud leads with its user-friendly integration capabilities, while Precisely Trillium stands out for enterprises with a focus on data precision due to its advanced analytics.

Features: Qlik Talend Cloud has robust data integration, real-time processing, and cloud compatibility, making it a versatile choice for diverse data needs. Precisely Trillium provides advanced data quality tools, precise data profiling, and sophisticated analytics, offering depth in data accuracy.

Ease of Deployment and Customer Service: Qlik Talend Cloud emphasizes straightforward deployment with quick integration and user-friendly guidance, which enhances deployment efficiency. Precisely Trillium requires more detailed setup but offers thorough support, ensuring high data quality through its meticulous deployment process.

Pricing and ROI: Qlik Talend Cloud's pricing model is competitive with low initial setup costs, delivering a favorable ROI due to its scalable nature. Precisely Trillium, though requiring a higher upfront investment, provides a robust ROI through its advanced features that enhance data quality, focusing on precision.

To learn more, read our detailed Data Quality Report (Updated: January 2026).

Buyer's Guide

Data Quality

January 2026

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Helped 881,082 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

11th

Average Rating

8.0

Reviews Sentiment

3.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Data Quality

3rd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (9th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of Precisely Trillium is 1.7%, up from 1.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.6%, down from 11.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Qlik Talend Cloud	6.6%
Precisely Trillium	1.7%
Other	91.7%

Data Quality

Featured Reviews

reviewer2775918

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.

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Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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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 tool was mainly used for ETL processes to apply governance rules on data."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions."

"We are able to get emails from URLs very easily using this function when others fail."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."

"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."

"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."

More Qlik Talend Cloud pros

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."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

"I wonder if, at the same price, the API component could be added, which would be beneficial."

"Performance and speed could be improved."

"You can't join more than two tables for analysis."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

"SQL for displaying underlying data in non-match results does not work."

"The documentation from version to version could be more accurate."

"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"The licensing cost is about 40,000 Euros a year."

"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"The tool is cheap."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

12%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

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...

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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...

See all answers

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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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.

See all answers

What needs improvement with Talend Data Quality?

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 ...

See all answers

What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

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Product Reports

Buyer's Guide

Data Quality

January 2026

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Buyer's Guide

Qlik Talend Cloud

January 2026

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Also Known As

Syncsort Trillium, Trillium, TSS, Syncsort Trillium Software System

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

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

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Toyota Material Handling Australia, Westpac Pacific Banking, Symphony Health, Wimbledon, OCBC Bank

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Find out what your peers are saying about Informatica, SAP, Qlik and others in Data Quality. Updated: January 2026.

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