Informatica Intelligent Data Management Cloud (IDMC) vs Microsoft Data Quality Services comparison

Informatica and Microsoft are both solutions in the Data Quality category. Informatica is ranked #1 with an average rating of 8.0, while Microsoft is ranked #15 with an average rating of 7.0. Informatica holds a 10.6% mindshare in DQ, compared to Microsoft’s 1.7% mindshare. Additionally, 92% of Informatica users are willing to recommend the solution, compared to 100% of Microsoft users who would recommend it.

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

21,813 Views
2,399 Comparison Views

92% willing to recommend

Microsoft Data Quality Serv...

Read 2 Microsoft Data Quality Services reviews

328 Views
321 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Microsoft Data Quality Serv...

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 11, 2025

Informatica Intelligent Data Management Cloud and Microsoft Data Quality Services compete in data management. Informatica IDMC appears to have the upper hand due to its comprehensive cloud integration capabilities, whereas Microsoft Data Quality Services benefits from a focused approach to data quality tasks.

Features: Informatica IDMC provides robust data integration, quality management, and governance as part of its versatile platform. Microsoft Data Quality Services focuses on data cleansing and standardization. IDMC's comprehensive set makes it ideal for businesses seeking an all-in-one solution while Microsoft is suitable for those focusing on data accuracy.

Ease of Deployment and Customer Service: Microsoft Data Quality Services offers straightforward deployment within the SQL Server suite and extensive support. Informatica IDMC's cloud-native approach allows for easy scaling but may involve a more complex initial setup. Informatica offers diverse support and training resources, but Microsoft's embedded service model facilitates quicker deployment in compatible environments.

Pricing and ROI: Informatica IDMC's cloud-based subscription model might involve higher initial costs yet offers long-term ROI through its adaptable features and scalability. Microsoft Data Quality Services initially tends to be more affordable but may have limited ROI due to its narrower focus, making IDMC potentially more cost-effective for businesses seeking a wide range of functionalities.

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

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Microsoft Data Quality Services

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

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)

Microsoft Data Quality Serv...

Ranking in Data Quality

15th

Average Rating

7.6

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.6%, down from 20.0% compared to the previous year. The mindshare of Microsoft Data Quality Services is 1.7%, up from 0.9% 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%
Microsoft Data Quality Services	1.7%
Other	87.7%

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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Satyam Saxena

Technical Lead at a computer software company with 5,001-10,000 employees

Automation in data management improves with built-in error rejection but technical support needs enhancement

Multiple areas in Microsoft Data Quality Services could be improved, such as its ability to perform changes automatically, as it currently identifies but does not correct data issues. Regular expression processing is complicated and slow. Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation. Sometimes solutions to problems take several weeks due to a lack of support, relying instead on personal networks and experience.

Read full review

Quotes from Members

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

Pros

"The most valuable features are the structure masking and platform masking."

"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."

"It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust."

"Initial setup was fairly easy."

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

"We had a bad experience before Informatica Cloud Data Quality, we started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model."

"The user interface is flexible and the visibility of the data flow is amazing."

"It is a very stable solution. I rate its stability a ten out of ten...It is a scalable solution...Informatica Axon's technical support is good."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The primary advantage of Microsoft Data Quality Services is its capability to automate certain tasks, which are otherwise achieved through SQL queries."

"This solution is particularly useful for data enrichment."

Cons

"It would be great if the cloud version could match the full range of capabilities available on-premise."

"The on-prem solution is harder to learn than the cloud-based versions."

"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."

"There is room for improvement in the Data Marketplace aspect."

"The user interface of the product needs to be improved"

"The pricing model is problematic."

"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."

"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation."

"I would rate my experience with the initial setup a six out of ten, with one being very easy and ten being extremely challenging. So, there is room for improvement in the setup process."

Pricing and Cost Advice

"We are quite happy with the licensing model."

"The solution is expensive."

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."

"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."

"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."

"The pricing is high compared to other tools on the market."

"The licenses attached to the solution are highly priced."

"We got a 50% discount."

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

"The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

11%

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

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What is your experience regarding pricing and costs for Microsoft Data Quality Services?

Microsoft Data Quality Services comes as part of SQL Server without additional costs, making it a competitive solution.

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What needs improvement with Microsoft Data Quality Services?

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What is your primary use case for Microsoft Data Quality Services?

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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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Data Quality

January 2026

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Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

MS Data Quality Services

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

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data.

Microsoft

Sample Customers

The Travel Company, Carbonite

Information Not Available

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Microsoft Data Quality Services

December 2025

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