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Informatica Cloud Data Quality vs SAP Data Quality Management comparison

Informatica and SAP are both solutions in the Data Quality category. Informatica is ranked #3 with an average rating of 7.8, while SAP is ranked #10 with an average rating of 7.0. Informatica holds a 6.8% mindshare in DQ, compared to SAP’s 4.0% mindshare. Additionally, 75% of Informatica users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.
Informatica Cloud Data Quality
Read 17 Informatica Cloud Data Quality reviews
  • 977 Views
  • 967 Comparison Views
75% willing to recommend
SAP Data Quality Management
Read 3 SAP Data Quality Management reviews
  • 500 Views
  • 480 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 6, 2025

SAP Data Quality Management and Informatica Cloud Data Quality compete in the data quality domain. Informatica Cloud Data Quality has the upper hand due to its extensive feature set and value for investment.

Features: SAP Data Quality Management integrates well with SAP ecosystems, providing seamless data cleansing and enrichment. It offers robust integration capabilities and supports SAP applications. Informatica Cloud Data Quality supports multi-cloud environments and provides flexible data governance tools. It offers broad compatibility and various customization options, making it appealing for enterprises.

Ease of Deployment and Customer Service: SAP Data Quality Management requires more time and expertise for deployment but benefits existing SAP users with smoother integration. Informatica Cloud Data Quality simplifies deployment with its cloud-native setup across various platforms. Its comprehensive customer service and support make it easier to implement and manage.

Pricing and ROI: SAP Data Quality Management involves higher setup costs due to SAP-specific expertise needs, impacting ROI. Informatica Cloud Data Quality offers flexible pricing models and lower initial deployment costs, providing a compelling ROI justified by its adaptability to various environments.

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Buyer's Guide
Informatica Cloud Data Quality vs. SAP Data Quality Management
July 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 Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
5.9
Number of Reviews
17
Ranking in other categories
No ranking in other categories
SAP Data Quality Management
Ranking in Data Quality
10th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 6.8%, down from 9.7% compared to the previous year. The mindshare of SAP Data Quality Management is 4.0%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Mehmet SukruKaya - PeerSpot reviewer
Improved data quality significantly enhances project efficiency and effectiveness
I am not utilizing the data quality rules management part yet. 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. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.
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Rene Dorantes - PeerSpot reviewer
Scalable, stable, and offers good technical support
SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management. What I'd like to see from SAP Data Quality Management in the future is the integration of machines on the shop floor or a feature that connects shop floor devices. I'd also like a custom dashboard in the solution, though I wonder if that's available in the new version. The old version my company uses doesn't have that. Another feature I want in the next release of SAP Data Quality Management is better communication between the ME and the SAP systems.
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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 most valuable feature is the rule specification."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"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."
"I would definitely recommend Informatica Data Quality to others."
"Stability-wise, I rate the solution a ten out of ten."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"The user-friendliness and performance of Informatica is quite impressive."
"The quality of the data improves with Informatica Cloud Data Quality."
More Informatica Cloud Data Quality pros
"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."
"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."
"Scalability is good."
 

Cons

"Logical views are a little bit behind in comparison to the on-premise version."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"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."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."
"The integration with older technology and cloud quality needs improvement."
"If a new solution has the same features and less investment, it would be worth considering."
"The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden."
More Informatica Cloud Data Quality cons
"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."
"There are some limitations. They are not covering complete scenarios for all the modules."
"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."
 

Pricing and Cost Advice

"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."
"We pay for a yearly subscription."
"Informatica Cloud Data Quality is a costly solution."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
6%
Financial Services Firm
15%
Manufacturing Company
15%
Computer Software Company
13%
Energy/Utilities Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
See all answers
What needs improvement with Informatica Cloud Data Quality?
I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...
See all answers
What is your primary use case for Informatica Cloud Data Quality?
I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...
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What needs improvement with SAP Data Quality Management?
This tool itself is new. SAP Data Quality Management was brought in by SAP recently, maybe a year or two years back. We just started implementing and we still have not heard exact feedback from the...
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What is your primary use case for SAP Data Quality Management?
Currently, one of our clients is seeking SAP Data Quality Management solutions, so we are exploring options in that area. The product is not mature yet, so they need to work to improve it. We are a...
See all answers
What advice do you have for others considering SAP Data Quality Management?
For smaller organizations, I don't think this much is required. If it is a bigger size client from a business point of view, I definitely recommend this tool. They can use it if they are already us...
See all answers
 

Comparisons

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Compared 13% of the time
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Compared 35% of the time
SAP Data Services vs SAP Data Quality Management Logo
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Compared 27% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Quality Management Logo
Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Quality Management
Compared 18% of the time
More SAP Data Quality Management Competitors
 

Product Reports

Buyer's Guide
Informatica Cloud Data Quality
July 2025
Informatica Cloud Data Quality reportDownload Informatica Cloud Data Quality product report
Buyer's Guide
Data Quality
July 2025
SAP Data Quality Management reportDownload SAP Data Quality Management product report
 

Also Known As

Cloud Data Quality Radar
SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
 

Overview

Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

Informatica
SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.
SAP
 

Sample Customers

Freddie Mac, Rabobank
AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R
Buyer's Guide
Informatica Cloud Data Quality vs. SAP Data Quality Management
July 2025
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