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IBM Infosphere Information Analyzer vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

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
6th
Average Rating
7.4
Reviews Sentiment
5.8
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
54
Ranking in other categories
Data Integration (9th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 2.5%, up from 2.4% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.6%, down from 11.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Qlik Talend Cloud6.6%
IBM Infosphere Information Analyzer2.5%
Other90.9%
Data Quality
 

Featured Reviews

Tirthankar Roy Chowdhury - PeerSpot reviewer
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.
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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."
"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."
"It has definitely streamlined certain processes.​"
"The solution is connected to various phones. It retrieves the configuration from the system."
"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."
"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."
"Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions."
"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."
 

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."
"The documentation from version to version could be more accurate."
"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"SQL for displaying underlying data in non-match results does not work."
"The ability to change the code when debugging the JavaScript could be improved."
"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
 

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."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."
"The licensing cost is about 40,000 Euros a year."
"The tool is cheap."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Computer Software Company
10%
Comms Service Provider
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
 

Also Known As

Information Analyzer
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about IBM Infosphere Information Analyzer vs. Qlik Talend Cloud and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.