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IBM InfoSphere MDM vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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 MDM
Ranking in Master Data Management (MDM) Software
8th
Average Rating
7.4
Reviews Sentiment
6.2
Number of Reviews
9
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Master Data Management (MDM) Software
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
55
Ranking in other categories
Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of March 2026, in the Master Data Management (MDM) Software category, the mindshare of IBM InfoSphere MDM is 4.8%, down from 7.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.2%, down from 9.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud6.2%
IBM InfoSphere MDM4.8%
Other89.0%
Master Data Management (MDM) Software
 

Featured Reviews

SoumikDolui - PeerSpot reviewer
Assistant Consultant at a tech services company with 10,001+ employees
Provides inbuilt data model and good matching engine
It's a tough tool for developers. Right now in the market, I think Informatica MDM is number one and is used a lot. IBM MDM was developed by some other company and IBM developed it more. There are definitely some flaws. The tool is difficult to understand from a customer perspective and for developers. Generally, customers can understand Informatica MDM and its functionality easily. If a developer is facing issues with IBM MDM, then a customer will definitely not understand most of the functionality. That is the main concern. IBM is introducing some Next-Gen MDM, where they are using a lot of current technologies and machine learning. Most of the problems we may be facing right now are probably solved in that version.
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

"The ability to standardize and match names using a combination of global name recognition and an MDM server is a valuable feature for us."
"The features that are most valuable are the governance, the end-profiling and the ETL which allows you to see the metadata repositories."
"The advantage is that the matching engine is very good, so that's why customers generally prefer it. From the inbuilt data model perspective, IBM MDM is good."
"For the company I work for, not having MDM is not an option."
"When users update their information on one product, the data is sent to a database. My approach was to maintain a master data record, ensuring that each platform loads the latest updated record. Instead of having three separate records, the system keeps one master data record, storing the historical records for reference."
"It is one of the best MDM solutions available on market."
"There are not really many areas of the product that need improvement because the product stays up-to-date with data management needs."
"Flexibility Web services"
"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."
"Talend is user-friendly and has many components and connectors, which makes it a great choice."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"The solution is very user-friendly and easy to understand."
"​This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted.​"
"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."
"Provides a flexible development environment to the coder.​"
"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."
 

Cons

"It needs a better database."
"Though probabilistic search is supported, this feature is not an out of the box API."
"The stack architecture seems too complicated as a result of having too many components that needed to be built together."
"It's complex because of the poor quality of the documentation."
"The tool is difficult to understand from a customer perspective and for developers."
"We also want better cloud integration, so we could do things in the cloud if we needed to. This would be a good feature to add in a future release."
"The product is really only created for large organizations."
"IBM InfoSphere MDM's UI is complicated. It also needs to improve its on-prem configuration."
"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."
"The usage of memory. This tool uses a huge amount of memory."
"The ability to change the code when debugging the JavaScript could be improved."
"You can't join more than two tables for analysis."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"The documentation from version to version could be more accurate."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"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."
 

Pricing and Cost Advice

"It may be costly for small organizations but adds value for large organizations with demanding workflows."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"The tool is cheap."
"The licensing cost is about 40,000 Euros a year."
"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 pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"License renewal is on a yearly basis."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Healthcare Company
15%
Manufacturing Company
8%
Government
6%
Financial Services Firm
13%
Computer Software Company
10%
Comms Service Provider
7%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Midsize Enterprise3
Large Enterprise8
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
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...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
 

Also Known As

InfoSphere MDM, InfoSphere Master Data Management
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

L'Oreal S.A., Kingland Systems, Oncor, Farmaceuticos Maypo, Volkswagen Financial Services
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about IBM InfoSphere MDM vs. Qlik Talend Cloud and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.