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IBM InfoSphere MDM 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 MDM
Ranking in Master Data Management (MDM) Software
7th
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
8.2
Reviews Sentiment
6.5
Number of Reviews
53
Ranking in other categories
Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of December 2025, in the Master Data Management (MDM) Software category, the mindshare of IBM InfoSphere MDM is 6.1%, down from 7.5% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.6%, down from 11.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Market Share Distribution
ProductMarket Share (%)
Qlik Talend Cloud6.6%
IBM InfoSphere MDM6.1%
Other87.3%
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 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."
"There are not really many areas of the product that need improvement because the product stays up-to-date with data management needs."
"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."
"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 connected to various phones. It retrieves the configuration from the system."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"The solution is very user-friendly and easy to understand."
"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 enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"The most valuable feature is the data loading and scripting language"
"The process of upgrading the software is quite easy."
 

Cons

"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 tool is difficult to understand from a customer perspective and for developers."
"IBM InfoSphere MDM's UI is complicated. It also needs to improve its on-prem configuration."
"The product is really only created for large organizations."
"The product's setup process could be simpler."
"The solution's memory sometimes bottlenecks and that can be challenging."
"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"The ability to change the code when debugging the JavaScript could be improved."
"We'd like to see more connectors it the future."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"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."
 

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 solution's pricing is very reasonable and half the cost of Informatica."
"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."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"I have been using the open-source version."
"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 licensing cost is about 40,000 Euros a year."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Healthcare Company
14%
Manufacturing Company
8%
Insurance Company
6%
Financial Services Firm
13%
Computer Software Company
11%
Comms Service Provider
7%
Manufacturing 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 Business20
Midsize Enterprise11
Large Enterprise18
 

Questions from the Community

What do you like most about IBM InfoSphere MDM?
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. In...
What needs improvement with IBM InfoSphere MDM?
IBM InfoSphere MDM's UI is complicated. It also needs to improve its on-prem configuration.
What is your primary use case for IBM InfoSphere MDM?
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. In...
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

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: December 2025.
879,371 professionals have used our research since 2012.