IBM Infosphere Information Analyzer vs SAP Data Quality Management comparison

IBM and SAP are both solutions in the Data Quality category. IBM is ranked #7 with an average rating of 10.0, while SAP is ranked #10. IBM holds a 2.7% mindshare in DQ, compared to SAP’s 4.4% mindshare. Additionally, 66% of IBM users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

IBM Infosphere Information ...

Read 6 IBM Infosphere Information Analyzer reviews

386 Views
164 Comparison Views

66% willing to recommend

SAP Data Quality Management

Read 2 SAP Data Quality Management reviews

549 Views
421 Comparison Views

100% willing to recommend

IBM Infosphere Information ...

SAP Data Quality Management

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 6, 2025

SAP Data Quality Management and IBM Infosphere Information Analyzer are competitors in the data management category. IBM Infosphere Information Analyzer appears to have the upper hand due to its comprehensive features and extensive analytics.

Features: SAP Data Quality Management has strong data cleansing and enrichment capabilities, improving data accuracy. It also supports seamless integration with SAP systems and provides batch processing. IBM Infosphere Information Analyzer offers detailed data profiling, advanced data governance features, and metadata management, allowing deeper control and analysis of data assets.

Ease of Deployment and Customer Service: IBM Infosphere Information Analyzer provides flexible deployment options and integrates well with various IT environments. It offers robust customer support, easing the implementation process. SAP Data Quality Management has a straightforward deployment process, although it may require specific technical skills. Both offer good customer service, with IBM noted for its flexibility in integration.

Pricing and ROI: SAP Data Quality Management is valued for its competitive pricing and quick visible ROI, appealing to budget-conscious businesses. IBM Infosphere Information Analyzer has a higher initial cost but delivers substantial long-term ROI through its extensive analytics and feature set. SAP provides immediate cost benefits, whereas IBM emphasizes long-term value.

To learn more, read our detailed IBM Infosphere Information Analyzer vs. SAP Data Quality Management Report (Updated: April 2025).

Buyer's Guide

IBM Infosphere Information Analyzer vs. SAP Data Quality Management

April 2025

Download the complete report

Helped 850,028 peers since 2012

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

IBM Infosphere Information ...

Ranking in Data Quality

7th

Average Rating

7.6

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Data Quality Management

Ranking in Data Quality

10th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 2.7%, up from 1.8% compared to the previous year. The mindshare of SAP Data Quality Management is 4.4%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Tirthankar Roy Chowdhury

Teamlead at Tata consultancy services

Accessible from anywhere and easy to learn even for non-technical users, but needs more connectors and faster issue resolution from technical support

What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources.

Read full review

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.

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

"What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn."

"You can also schedule and run data quality on the critical data elements on the databases."

"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."

"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

"What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources."

"The solution is outdated and is not on cloud."

"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."

"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."

Pricing and Cost Advice

"For the licensing cost of IBM Infosphere Information Analyzer, I have no information on the exact cost, but as it's bundled with other IBM products such as IBM InfoSphere Information Governance Catalog and IBM InfoSphere DataStage, the bundle is expensive when compared to competitor pricing."

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Data Quality solutions are best for your needs.

See recommendations

850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

32%

Computer Software Company

11%

Manufacturing Company

11%

Government

Financial Services Firm

17%

Manufacturing Company

14%

Computer Software Company

14%

Energy/Utilities Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

Informatica Cloud Data Quality vs IBM Infosphere Information Analyzer

Compared 38% of the time

Ataccama ONE Platform vs IBM Infosphere Information Analyzer

Compared 36% of the time

SAP Data Services vs IBM Infosphere Information Analyzer

Compared 26% of the time

More IBM Infosphere Information Analyzer Competitors

SAP Information Steward vs SAP Data Quality Management

Compared 36% of the time

SAP Data Services vs SAP Data Quality Management

Compared 34% of the time

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

Compared 30% of the time

More SAP Data Quality Management Competitors

Product Reports

Buyer's Guide

Data Quality

April 2025

IBM Infosphere Information Analyzer report

Download IBM Infosphere Information Analyzer product report

Buyer's Guide

Data Quality

April 2025

Download SAP Data Quality Management product report

Also Known As

Information Analyzer

SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management

Overview

IBM Information Analyzer provides data quality assessment, data quality monitoring and data rule design and analysis capabilities. This software helps you derive more meaning from your enterprise data, reduces the risk of proliferating incorrect information, facilitates the delivery of trusted content, and helps to lower data integration costs.

IBM

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

Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF

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

IBM Infosphere Information Analyzer vs. SAP Data Quality Management

April 2025

Free Report: IBM Infosphere Information Analyzer vs. SAP Data Quality Management

Find out what your peers are saying about IBM Infosphere Information Analyzer vs. SAP Data Quality Management and other solutions. Updated: April 2025.

DOWNLOAD NOW

850,028 professionals have used our research since 2012.

See our IBM Infosphere Information Analyzer vs. SAP Data Quality Management report.

See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.