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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 (6th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of May 2026, in the Master Data Management (MDM) Software category, the mindshare of IBM InfoSphere MDM is 4.6%, down from 7.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.2%, down from 8.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.2%
IBM InfoSphere MDM4.6%
Other88.2%
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

"Flexibility Web services"
"For the company I work for, not having MDM is not an option."
"The features that are most valuable are the governance, the end-profiling and the ETL which allows you to see the metadata repositories."
"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."
"The stability is fine, as it is built for large-scale industrial usage and worked without a problem at Lloyds Bank where we were dealing with 300 million transactions a day."
"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."
"There are not really many areas of the product that need improvement because the product stays up-to-date with data management needs."
"The best features Qlik Talend Cloud offers include the fact that it is built on Java, which gives me the chance to customize my requirements and write my own Java code to achieve my logic."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."
"The solution is customizable."
"tLogRows are also great for finding bad data."
"I put Talend on the same playing field as the other platforms and they're very competitive in terms of performance, which is a good selling point."
"It has definitely streamlined certain processes.​"
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
 

Cons

"Though probabilistic search is supported, this feature is not an out of the box API."
"It's complex because of the poor quality of the documentation."
"If you are a small company, it is more likely overkill."
"However, it needs to mature in several areas including, UI, DAM, lighter out-of-box features, and simplify the currently complex technical footprint."
"The product is really only created for large organizations."
"It needs a better database."
"IBM InfoSphere MDM's UI is complicated. It also needs to improve its on-prem configuration."
"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."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"Once you get past the basic tools, it gets pretty complicated."
"There are too many functions which could be streamlined."
"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."
"First, We faced problems with stability of the products."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
 

Pricing and Cost Advice

"It may be costly for small organizations but adds value for large organizations with demanding workflows."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"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."
"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 tool is cheap."
"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
"I have been using the open-source version."
"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."
"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
Healthcare Company
16%
Financial Services Firm
16%
Manufacturing Company
9%
Government
6%
Financial Services Firm
16%
Comms Service Provider
8%
Computer Software Company
8%
Government
5%
 

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: April 2026.
893,244 professionals have used our research since 2012.