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 7.8. IBM holds a 2.7% mindshare in DQ, compared to Informatica’s 8.4% mindshare. Additionally, 66% of IBM users are willing to recommend the solution, compared to 76% of Informatica users who would recommend it.

IBM Infosphere Information ...

Read 6 IBM Infosphere Information Analyzer reviews

377 Views
164 Comparison Views

66% willing to recommend

Informatica Cloud Data Quality

Read 14 Informatica Cloud Data Quality reviews

1,080 Views
725 Comparison Views

76% 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: April 2025).

Buyer's Guide

IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality

April 2025

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Helped 851,604 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

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

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 Informatica Cloud Data Quality is 8.4%, down from 10.4% 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.

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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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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."

"Initial setup was fairly easy."

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

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

"The profiling features are much better than the on-premise version."

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

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

More Informatica Cloud Data Quality pros

Cons

"The solution is outdated and is not on cloud."

"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."

"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."

"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."

"Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid."

"Improving the UI to be more business user-friendly would also be beneficial."

"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."

"Logical views are a little bit behind in comparison to the on-premise version."

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

"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

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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

32%

Manufacturing Company

11%

Computer Software Company

11%

Government

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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?

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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Comparisons

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Compared 35% of the time

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Compared 28% of the time

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

Compared 78% of the time

Ataccama ONE Platform vs Informatica Cloud Data Quality

Compared 13% of the time

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Product Reports

Buyer's Guide

Data Quality

May 2025

IBM Infosphere Information Analyzer report

Download IBM Infosphere Information Analyzer product report

Buyer's Guide

Data Quality

May 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

April 2025

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

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