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 #9 with an average rating of 7.0. Informatica holds a 7.9% mindshare in DQ, compared to SAP’s 4.0% mindshare. Additionally, 76% of Informatica users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Informatica Cloud Data Quality

Read 14 Informatica Cloud Data Quality reviews

1,035 Views
120 Comparison Views

76% willing to recommend

SAP Data Quality Management

Read 3 SAP Data Quality Management reviews

505 Views
230 Comparison Views

100% willing to recommend

Informatica Cloud Data Quality

SAP Data Quality Management

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.

To learn more, read our detailed Informatica Cloud Data Quality vs. SAP Data Quality Management Report (Updated: June 2025).

Buyer's Guide

Informatica Cloud Data Quality vs. SAP Data Quality Management

June 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

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Data Quality Management

Ranking in Data Quality

9th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 7.9%, down from 10.1% compared to the previous year. The mindshare of SAP Data Quality Management is 4.0%, down from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

TaherDungrawala

Data & Analytics Practice at Tech Mahindra Limited

Has good reusability and CDI features

I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.

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Rene Dorantes

IT Manufacturing Intelligence Chief at Productos Laminados de Monterrey

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

"Initial setup was fairly easy."

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

"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."

"I would definitely recommend Informatica Data Quality to others."

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

"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."

"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."

More Informatica Cloud Data Quality pros

"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."

"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."

Cons

"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."

"Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."

"Some capabilities from the cloud version are not included in the on-premises version."

"The high price of the product is an area of concern where improvements are required."

"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."

"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."

"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."

"Support response time could be better."

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."

"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."

"There are some limitations. They are not covering complete scenarios for all the modules."

Pricing and Cost Advice

"Informatica Cloud Data Quality is a costly solution."

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

11%

Computer Software Company

Educational Organization

Financial Services Firm

20%

Computer Software Company

16%

Manufacturing Company

12%

Energy/Utilities Company

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.

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What needs improvement with Informatica Cloud Data Quality?

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, especially since we followed...

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What is your primary use case for Informatica Cloud Data Quality?

The main use case we had with Informatica Cloud Data Quality was real-time data quality monitoring. When customer information was entered into a tool in real time, we were able to run data quality ...

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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...

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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...

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Comparisons

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

Compared 69% of the time

Ataccama ONE Platform vs Informatica Cloud Data Quality

Compared 13% of the time

IBM Infosphere Information Analyzer vs Informatica Cloud Data Quality

Compared 10% of the time

More Informatica Cloud Data Quality Competitors

SAP Information Steward vs SAP Data Quality Management

Compared 31% of the time

SAP Data Services vs SAP Data Quality Management

Compared 29% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Quality Management

Compared 20% of the time

More SAP Data Quality Management Competitors

Product Reports

Buyer's Guide

Data Quality

May 2025

Download Informatica Cloud Data Quality product report

Buyer's Guide

Data Quality

May 2025

Download 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

June 2025

Free Report: Informatica Cloud Data Quality vs. SAP Data Quality Management

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