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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
56
Ranking in other categories
Data Integration (6th), Data Quality (2nd), Data Scrubbing Software (1st), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of June 2026, in the Master Data Management (MDM) Software category, the mindshare of IBM InfoSphere MDM is 4.9%, down from 7.9% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.5%, down from 7.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.5%
IBM InfoSphere MDM4.9%
Other87.6%
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

"For the company I work for, not having MDM is not an option."
"It is one of the best MDM solutions available on market."
"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."
"The ability to standardize and match names using a combination of global name recognition and an MDM server is a valuable feature for us."
"It is a great product for your workflow, with seamless integration processes (batch, real time and near real), availability of exhaustive customization feature (Java-based and Script-based), business rules and validation framework, good technical support."
"The features that are most valuable are the governance, the end-profiling, and the ETL which allows you to see the metadata repositories."
"Flexibility Web services"
"The advantage is that the matching engine is very good, so that's why customers generally prefer it, and from the inbuilt data model perspective, IBM MDM is good."
"You move data from one source to another without problem and apply some business rules in data."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"Talend is a good product and I recommend it."
"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."
"The solution is very user-friendly and easy to understand."
"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"The availability of connectors is great."
"The tool was mainly used for ETL processes to apply governance rules on data."
 

Cons

"Though probabilistic search is supported, this feature is not an out of the box API."
"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 stack architecture seems too complicated as a result of having too many components that needed to be built together."
"The tool is difficult to understand from a customer perspective and for developers."
"The product is really only created for large organizations."
"It's complex because of the poor quality of the documentation."
"It needs a better database."
"If you are a small company, it is more likely overkill."
"The ability to change the code when debugging the JavaScript could be improved."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"Performance and speed could be improved."
"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."
"The stability for Talend Data Quality can be rated around an 8; it is quite stable."
"With M rows, it runs too slowly and has memory issues."
"I would say that some of the support elements need improvement."
"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."
 

Pricing and Cost Advice

"It may be costly for small organizations but adds value for large organizations with demanding workflows."
"I have been using the open-source version."
"The solution's pricing is very reasonable and half the cost of Informatica."
"It's a subscription-based platform, we renew it every 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."
"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."
"License renewal is on a yearly basis."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Healthcare Company
14%
Manufacturing Company
8%
Government
6%
Financial Services Firm
16%
Comms Service Provider
9%
Construction Company
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Midsize Enterprise3
Large Enterprise8
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
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: June 2026.
900,747 professionals have used our research since 2012.