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

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

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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.

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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 offers good data governance."

"The most important features are the mastering of the data and the UI intuitiveness."

"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."

"The scalability is very high."

"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."

"Data synchronization tasks."

"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."

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

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

"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."

"Synchronicity is an area for improvement in Informatica Intelligent Cloud Services. For example, when you want real-time or immediate response from the solution when multiple technologies are involved, the integration with Informatica Intelligent Cloud isn't seamless, whether it's the MQ, JMS, or BES service, so the connectivity should be improved a bit. The data governance is good, but what's lacking is a demo. For example, if there's a new feature in Informatica Intelligent Cloud Services, the documentation for that new feature is limited, so if Informatica could give a more complete documentation and more demos, that would be better for the users. Right now, there isn't any issue with any of the features of the solution. It's the new feature awareness or user training, and improved connectivity that I'd like to see in the next version of Informatica Intelligent Cloud Services."

"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."

"The main issue probably has nothing to do with end users, but installation can definitely be simplified."

"The customer servive and support could be faster. There is a slow turnaround."

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

"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."

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 is cost effective and an easily accessible tool."

"It's an expensive solution."

"It's a very expensive solution"

"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."

"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."

"I rate the licensing cost of Informatica MDM a five out of ten."

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

"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."

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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879,768 professionals have used our research since 2012.

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...

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...

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 ...

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.

What needs improvement with Microsoft Data Quality Services?

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

Informatica Intelligent Data Management Cloud (IDMC)

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Informatica Intelligent Data Management Cloud (IDMC) report

Data Quality

Download Microsoft Data Quality Services product report

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

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