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 #17 with an average rating of 7.0. Informatica holds a 9.9% mindshare in DQ, compared to Microsoft’s 1.8% 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

22,811 Views
2,509 Comparison Views

92% willing to recommend

Microsoft Data Quality Serv...

Read 2 Microsoft Data Quality Services reviews

392 Views
388 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: February 2026).

Buyer's Guide

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

February 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)

Microsoft Data Quality Serv...

Ranking in Data Quality

17th

Average Rating

7.6

Reviews Sentiment

4.4

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 Microsoft Data Quality Services is 1.8%, 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)	9.9%
Microsoft Data Quality Services	1.8%
Other	88.3%

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.

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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 user-friendliness and performance of Informatica is quite impressive."

"Offers data lineage feature"

"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."

"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."

"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."

"The feature I found most valuable in Informatica Intelligent Cloud Services is the mapping. You just drag, and it maps the data. Mapping is very easy, and it's no code. When you migrate data or when the data interaction happens at the source and destination, the challenge is that you'll get different formats. The validation has to be done in the middleware, and the transformation should happen. In Informatica Intelligent Cloud Services, it's very easy to do data validation and transformation compared to any other tool."

"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."

"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"This solution is particularly useful for data enrichment."

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

Cons

"Its cloud-based version has a few limitations compared to the on-premise version."

"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."

"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."

"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first."

"The product's pricing is definitely an area where a bit of improvement is needed."

"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."

"The setup is complex."

"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"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."

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

Pricing and Cost Advice

"It's a very expensive solution"

"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."

"The product is very expensive"

"It is an expensive solution. I would say it is the most expensive solution in the market."

"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."

"I have heard from customers that the product comes with a huge license cost."

"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."

"Informatica Cloud Data Quality is a costly solution."

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

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

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

See all answers

Which Informatica product would you choose - PowerCenter or Cloud Data Integration?

Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...

See all answers

What are the biggest benefits of using Informatica Cloud Data Integration?

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 ...

See all answers

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.

See all answers

What needs improvement with Microsoft Data Quality Services?

See all answers

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

I use Microsoft Data Quality Services ( /products/microsoft-data-quality-services-reviews ) to handle data inconsistencies, such as missing or improperly formatted data. The tool serves purposes li...

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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

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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

February 2026

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