Informatica Intelligent Data Management Cloud (IDMC) vs Precisely Trillium comparison

Informatica and Precisely are both solutions in the Data Quality category. Informatica is ranked #1 with an average rating of 8.0, while Precisely is ranked #14 with an average rating of 8.0. Informatica holds a 9.9% mindshare in DQ, compared to Precisely’s 1.7% mindshare. Additionally, 92% of Informatica users are willing to recommend the solution, compared to 100% of Precisely users who would recommend it.

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

22,811 Views
2,509 Comparison Views

92% willing to recommend

Precisely Trillium

Read 1 Precisely Trillium review

360 Views
320 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Precisely Trillium

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 11, 2025

Informatica Intelligent Data Management Cloud and Precisely Trillium compete in data management. Informatica IDMC is preferred for its broad feature set, while Precisely Trillium stands out for data quality and cleansing.

Features:Informatica IDMC offers advanced integration, scalability, and comprehensive management for diverse environments. It also supports extensive customization to fit various business needs. Precisely Trillium is strong in data quality with robust profiling, cleansing tools, and maintaining data consistency and accuracy.

Ease of Deployment and Customer Service:Precisely Trillium provides a streamlined deployment process with effective service ensuring minimal downtime. Informatica IDMC requires more planning due to customization options but benefits from a supportive engagement model that aids in resolving issues.

Pricing and ROI:Informatica IDMC generally has higher upfront costs but offers high ROI with scalability and integration. Precisely Trillium, while premium priced initially, provides efficient resource management leading to a positive ROI through targeted data quality solutions.

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

Buyer's Guide

Data Quality

January 2026

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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

Informatica Intelligent Dat...

Ranking in Data Quality

1st

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

214

Ranking in other categories

Data Integration (2nd), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)

Precisely Trillium

Ranking in Data Quality

14th

Average Rating

8.0

Reviews Sentiment

3.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.9%, down from 19.5% compared to the previous year. The mindshare of Precisely Trillium is 1.7%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	9.9%
Precisely Trillium	1.7%
Other	88.4%

Data Quality

Featured Reviews

Divya-Raj

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

Handles large data volumes effectively and offers competitive pricing

There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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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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Quotes from Members

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

Pros

"The solution is stable."

"Customer service and technical support are excellent."

"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."

"The most valuable feature is the rule specification."

"The profiling feature in Informatica Data Quality is incredibly effective for data governance."

"We can scan anything."

"We are able to set rules, establish a data quality management platform, and monitor the quality."

"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"Precisely Trillium's best features include being a very comprehensive solution in terms of data quality."

Cons

"It needs to be a little more intuitive but it’s really not bad."

"Some capabilities from the cloud version are not included in the on-premises version."

"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

"Data integration should be improved."

"Once the data is masked, we won't be able to reverse it back to its original value."

"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."

"The cost of Informatica MDM is expensive and has room for improvement."

"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."

More Informatica Intelligent Data Management Cloud (IDMC) 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."

Pricing and Cost Advice

"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."

"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."

"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."

"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."

"The licensing price of the product depends on the organization's requirements."

"The platform has a premium cost. I rate the pricing as seven out of ten."

"It's a very expensive solution"

"The price is high, but the competitors are even higher, like Collibra."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Retailer

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

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...

See all answers

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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Compared 19% of the time

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Compared 18% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

January 2026

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Quality

January 2026

Download Precisely Trillium product report

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

Syncsort Trillium, Trillium, TSS, Syncsort Trillium Software System

Overview

Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

Informatica

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

Sample Customers

The Travel Company, Carbonite

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

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

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