Experian Data Quality vs Informatica Intelligent Data Management Cloud (IDMC) comparison

Experian and Informatica are both solutions in the Data Quality category. Experian is ranked #18, while Informatica is ranked #1 with an average rating of 8.0. Experian holds a 3.0% mindshare in DQ, compared to Informatica’s 10.6% mindshare. Additionally, 87% of Experian users are willing to recommend the solution, compared to 92% of Informatica users who would recommend it.

Experian Data Quality

Read 7 Experian Data Quality reviews

1,452 Views
378 Comparison Views

87% willing to recommend

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

21,813 Views
2,399 Comparison Views

92% willing to recommend

Experian Data Quality

Informatica Intelligent Dat...

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Executive SummaryUpdated on Dec 11, 2025

Experian Data Quality and Informatica Intelligent Data Management Cloud (IDMC) are competing products in the data management space. While Experian is appreciated for its pricing and support, Informatica has a stronger hand with its comprehensive feature set, making it worthy of a higher investment.

Features: Experian Data Quality offers accuracy and simplicity in data integration, data cleansing, and address validation, suitable for businesses requiring straightforward solutions. Informatica IDMC provides extensive data management features, including integration, analytics, and flexible architecture, making it ideal for complex data environments.

Room for Improvement: Experian could improve in areas of deeper analytic capabilities, broader integration options, and scalability. Informatica IDMC may benefit from simplifying its deployment process, enhancing ease of use for less technical users, and streamlining initial cost structures.

Ease of Deployment and Customer Service: Experian Data Quality is praised for quick deployment and reliable customer service. Informatica IDMC, while more complex to deploy, offers comprehensive professional services that support its extensive features and complexity.

Pricing and ROI: Experian Data Quality is known for competitive setup costs and efficient ROI, making it attractive for budget-conscious users. Informatica IDMC, despite a higher initial cost, offers significant long-term value with its advanced, scalable solutions.

To learn more, read our detailed Experian Data Quality vs. Informatica Intelligent Data Management Cloud (IDMC) Report (Updated: December 2025).

Buyer's Guide

Experian Data Quality vs. Informatica Intelligent Data Management Cloud (IDMC)

December 2025

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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

Experian Data Quality

Ranking in Data Quality

18th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (2nd)

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) (7th), Business-to-Business Middleware (3rd), 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 (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of Experian Data Quality is 3.0%, up from 1.6% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.6%, down from 20.0% 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)	10.6%
Experian Data Quality	3.0%
Other	86.4%

Data Quality

Featured Reviews

it_user187320

BI Developer at a manufacturing company with 1,001-5,000 employees

Fast in taking unstructured data, processing it and spitting out all the different data types. The team moved to SSIS/SSRS, I suspect it didn’t fit in with the goal of creating a data warehouse.

The manual calculations and formulae. They were a bit complex. The formulae were a bit abstract. Not easy to understand. Not intuitive. I sat beside an SSIS guru and he took one look at them and said “Good luck Geoff”. I coded them all and after I left, I got a call from a techy there asking me what they were all about! He hadn’t a clue how to unravel them, even with documentation. Also, they managed to accidentally delete them all. No idea how they did that. After a few panic-filled phone calls, they dropped the whole thing. It was a mess there. Glad I left.

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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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Top Industries

By visitors reading reviews

Retailer

14%

University

11%

Manufacturing Company

10%

Performing Arts

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

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

Questions from the Community

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When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...

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Product Reports

Buyer's Guide

Data Quality

December 2025

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Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

December 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Also Known As

QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data Quality

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

Overview

Experian Data Quality (previously QAS) contact data management tools help you capture correct address, email, and phone data as it comes in, Our data management platform, Experian Pandora, is an end to end platform that supports all your Data Management needs - Data Quality, Data Migration, Data Governance, Data Preparation and Single Customer View.

Experian

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

Sample Customers

Overstock.com, Cabela, Drugstore.com, Saks Fifth Avenue, Midmark, Umpqua Bank, Colorado Department of Labor & Employment, Fresno Pacific University, University of North Texas, ALDO

The Travel Company, Carbonite

Buyer's Guide

Experian Data Quality vs. Informatica Intelligent Data Management Cloud (IDMC)

December 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.