No more typing reviews! Try our Samantha, our new voice AI agent.

IBM InfoSphere MDM vs Qlik Talend Cloud comparison

Why PeerSpot?
 

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
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
4th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Data Scrubbing Software (1st), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of November 2026, in the Master Data Management (MDM) Software category, the mindshare of IBM InfoSphere MDM is 4.8%, down from 6.6% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.9%, up from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.9%
IBM InfoSphere MDM4.8%
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.
Henrique Fsantos - PeerSpot reviewer
Data & Analytics Engineer at PicPay
Automated data pipelines have improved analytics workflows and provide trusted reporting data
The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. 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. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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."
"Flexibility Web services"
"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."
"There are not really many areas of the product that need improvement because the product stays up-to-date with data management needs."
"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."
"Talend Data integration has a wide library of connectors."
"tLogRows are also great for finding bad data."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"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."
"Before, when we wanted solutions and REST APIs, we handed it over to an external company, so it took time, back and forth and all that, but now, with Qlik Talend Cloud, when we want a service, we create it, and in at most one or two days the service is in production and usable, so we save a lot of time."
"​It lowers the amount of time in development from weeks to a day.​"
"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."
"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."
 

Cons

"The stack architecture seems too complicated as a result of having too many components that needed to be built together."
"Though probabilistic search is supported, this feature is not an out of the box API."
"If you are a small company, it is more likely overkill."
"It's complex because of the poor quality of the documentation."
"The product is really only created for large organizations."
"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 master data, and the reference data management in the toolset are not good."
"However, it needs to mature in several areas including, UI, DAM, lighter out-of-box features, and simplify the currently complex technical footprint."
"Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"The sales and market department could improve the Talend Data Management Platform."
"Performance and speed could be improved."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"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."
 

Pricing and Cost Advice

"It may be costly for small organizations but adds value for large organizations with demanding workflows."
"License renewal is on a yearly basis."
"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."
"It's a subscription-based platform, we renew it every year."
"The licensing cost is about 40,000 Euros a year."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"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 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 solution's pricing is very reasonable and half the cost of Informatica."
report
Use our free recommendation engine to learn which Master Data Management (MDM) Software solutions are best for your needs.
921,028 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Healthcare Company
14%
Financial Services Firm
12%
Manufacturing Company
11%
Construction Company
8%
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
11%
Construction Company
8%
 

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: November 2026.
921,028 professionals have used our research since 2012.