IBM Infosphere Information Analyzer vs Informatica Cloud Data Quality comparison

IBM and Informatica are both solutions in the Data Quality category. IBM is ranked #7 with an average rating of 10.0, while Informatica is ranked #3 with an average rating of 7.9. IBM holds a 2.4% mindshare in DQ, compared to Informatica’s 4.4% mindshare. Additionally, 66% of IBM users are willing to recommend the solution, compared to 75% of Informatica users who would recommend it.

IBM Infosphere Information ...

Read 6 IBM Infosphere Information Analyzer reviews

443 Views
412 Comparison Views

66% willing to recommend

Informatica Cloud Data Quality

Read 17 Informatica Cloud Data Quality reviews

967 Views
967 Comparison Views

75% willing to recommend

IBM Infosphere Information ...

Informatica Cloud Data Quality

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Executive SummaryUpdated on Jan 6, 2025

IBM Infosphere Information Analyzer and Informatica Cloud Data Quality are competing in the data quality solutions category. Informatica Cloud Data Quality seems to have the upper hand due to its sophisticated feature set and deployment flexibility.

Features: IBM Infosphere Information Analyzer offers robust data profiling and integration with IBM’s suite, handles large-scale data environments, and provides deep insights. Informatica Cloud Data Quality features comprehensive data cleansing, strong automation capabilities, and pre-built data quality rules, enhancing its usability for streamlining processes.

Room for Improvement: IBM Infosphere Information Analyzer could improve in deployment speed, cloud integration, and initial setup efficiency. Informatica Cloud Data Quality might enhance user interface intuitiveness, expand its on-premise functionalities, and better address specific large-scale data issues.

Ease of Deployment and Customer Service: Informatica Cloud Data Quality, with its cloud-based model, offers quick deployment and scalable solutions, supported by responsive customer service. IBM Infosphere Information Analyzer requires more time for on-premise installation and integration, benefiting users who prefer on-site management, even though its structured support might result in longer response times.

Pricing and ROI: IBM Infosphere Information Analyzer entails higher initial costs and infrastructure investment, leading to a longer ROI period, ideal for enterprises focused on analytics. Informatica Cloud Data Quality, leveraging a SaaS model, proposes lower upfront costs, promising a quicker ROI, thus appealing to businesses seeking versatility and cost efficiency.

To learn more, read our detailed IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality Report (Updated: September 2025).

Buyer's Guide

IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality

September 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

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

Informatica Cloud Data Quality

Ranking in Data Quality

3rd

Average Rating

8.0

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 2.4%, up from 1.8% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 4.4%, down from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Informatica Cloud Data Quality	4.4%
IBM Infosphere Information Analyzer	2.4%
Other	93.2%

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.

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Mehmet SukruKaya

Senior Data Analytics Manager at Esan

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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

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

"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."

"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."

"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 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."

"The most valuable feature is the rule specification."

"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."

"Stability-wise, I rate the solution a ten out of ten."

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."

"Informatica Cloud Data Quality was most valuable for our real-time data quality monitoring needs."

More Informatica Cloud Data Quality pros

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."

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

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

"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."

"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."

"If a new solution has the same features and less investment, it would be worth considering."

"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."

"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."

More Informatica Cloud Data Quality cons

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."

"Informatica Cloud Data Quality is a costly solution."

"We pay for a yearly subscription."

"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."

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

11%

Financial Services Firm

11%

Manufacturing Company

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	2
Large Enterprise	9

Questions from the Community

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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?

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 ...

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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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Comparisons

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

Compared 65% of the time

Ataccama ONE Platform vs Informatica Cloud Data Quality

Compared 13% of the time

Talend Data Quality vs Informatica Cloud Data Quality

Compared 11% of the time

SAP Data Quality Management vs Informatica Cloud Data Quality

Compared 11% of the time

More Informatica Cloud Data Quality Competitors

Product Reports

Buyer's Guide

Data Quality

August 2025

IBM Infosphere Information Analyzer report

Download IBM Infosphere Information Analyzer product report

Buyer's Guide

Informatica Cloud Data Quality

September 2025

Download Informatica Cloud Data Quality product report

Also Known As

Information Analyzer

Cloud Data Quality Radar

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

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

Sample Customers

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

Freddie Mac, Rabobank

Buyer's Guide

IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality

September 2025

Free Report: IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality

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