IBM InfoSphere MDM vs Qlik Talend Cloud comparison

Why PeerSpot?

IBM and Qlik are both solutions in the Master Data Management (MDM) Software category. IBM is ranked #7, while Qlik is ranked #4 with an average rating of 7.9. IBM holds a 4.8% mindshare in MDM, compared to Qlik’s 7.9% mindshare. Additionally, 90% of IBM users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

IBM InfoSphere MDM

Read 9 IBM InfoSphere MDM reviews

2,209 Views
1,546 Comparison Views

90% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

21,375 Views
2,138 Comparison Views

89% willing to recommend

IBM InfoSphere MDM

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and IBM InfoSphere MDM compete in the data management space. Qlik Talend Cloud has an advantage in pricing and support, but IBM InfoSphere MDM is often preferred for its comprehensive features.

Features: Qlik Talend Cloud allows seamless data source connectivity, provides efficient data transformation capabilities, and emphasizes flexible integration options. IBM InfoSphere MDM offers strong data governance, effective data centralization, and superior master data management.

Room for Improvement: Qlik Talend Cloud could enhance its user interface, expand its machine learning capabilities, and provide more out-of-the-box solutions. IBM InfoSphere MDM may improve its deployment process, simplify pricing models, and enhance interoperability with non-IBM products.

Ease of Deployment and Customer Service: Qlik Talend Cloud offers straightforward cloud-native deployment with fast initiation and strong customer service. IBM InfoSphere MDM requires complex deployment needing specialized expertise but provides robust support for intricate setups.

Pricing and ROI: Qlik Talend Cloud is cost-effective with faster ROI due to lower initial costs. IBM InfoSphere MDM involves higher setup costs but delivers significant long-term value through its detailed features, justifying the investment for comprehensive data management solutions.

To learn more, read our detailed IBM InfoSphere MDM vs. Qlik Talend Cloud Report (Updated: September 2026).

Buyer's Guide

IBM InfoSphere MDM vs. Qlik Talend Cloud

September 2026

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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

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

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
Product	Mindshare (%)
Qlik Talend Cloud	7.9%
IBM InfoSphere MDM	4.8%
Other	87.3%

Master Data Management (MDM) Software

Featured Reviews

SoumikDolui

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.

Read full review

Henrique Fsantos

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.

Read full review

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."

"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."

"Flexibility Web services"

"The features that are most valuable are the governance, the end-profiling, and the ETL which allows you to see the metadata repositories."

"There are not really many areas of the product that need improvement because the product stays up-to-date with data management needs."

"It is one of the best MDM solutions available on market."

"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."

"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."

More IBM InfoSphere MDM pros

"Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro."

"It meets our operational and analytical data integration needs by providing us with a high performing set of tools to access, transform and integrate data in real time."

"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 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."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"It lowers the amount of time in development from weeks to a day."

"Talend's most valuable feature is its ability to generate code and packages efficiently."

More Qlik Talend Cloud pros

Cons

"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."

"However, it needs to mature in several areas including, UI, DAM, lighter out-of-box features, and simplify the currently complex technical footprint."

"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."

"It's complex because of the poor quality of the documentation."

"The master data, and the reference data management in the toolset are not good."

"IBM InfoSphere MDM's UI is complicated. It also needs to improve its on-prem configuration."

More IBM InfoSphere MDM cons

"The documentation from version to version could be more accurate."

"Sometimes when working with larger datasets (possibly due to insufficient memory)."

"The product's setup process could be simpler."

"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."

"Data management could also encompass APIs and real-time streaming data integration."

"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."

"The sales and market department could improve the Talend Data Management Platform."

"The stability is good, but the performance is slower when I work on a huge amount of data."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"It may be costly for small organizations but adds value for large organizations with demanding workflows."

"It's a subscription-based platform, we renew it every year."

"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."

"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 tool is cheap."

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"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 pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Healthcare Company

14%

Financial Services Firm

12%

Manufacturing Company

11%

Construction Company

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Midsize Enterprise	3
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

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 ...

See all answers

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...

See all answers

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...

See all answers

Comparisons

SAP Master Data Governance vs IBM InfoSphere MDM

Compared 21% of the time

Microsoft MDS vs IBM InfoSphere MDM

Compared 15% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM InfoSphere MDM

Compared 11% of the time

ON EBX vs IBM InfoSphere MDM

Compared 8% of the time

IBM Master Data Management on Cloud vs IBM InfoSphere MDM

Compared 4% of the time

More IBM InfoSphere MDM Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

Ataccama ONE Platform vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Master Data Management (MDM) Software

October 2026

Download IBM InfoSphere MDM product report

Buyer's Guide

Qlik Talend Cloud

October 2026

Download Qlik Talend Cloud product report

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

IBM InfoSphere MDM is a robust tool for master data management, providing streamlined data integration and governance. It supports businesses by ensuring data consistency and reliability across diverse systems.

IBM InfoSphere MDM delivers comprehensive master data management capabilities that enhance information quality through consistent and accurate views of critical data. Tailored to handle complex data environments, it adapts to enterprise demands by promoting data consistency and resolving discrepancies. Its modular architecture aids in timely data verification, improving decision-making processes.

What are the key features of IBM InfoSphere MDM?

Data Integration: Ensures seamless data flow between disparate systems, enhancing data synchronization.
Data Governance: Provides powerful tools for establishing data stewardship and compliance with corporate policies.
Entity Resolution: Combines duplicate records into a single, accurate view to eliminate redundancy.
Workflow Management: Offers flexible workflow capabilities for data stewardship and management processes.
Scalability: Adapts to business growth needs, supporting increased data volumes without compromising performance.

What benefits and ROI should be expected from IBM InfoSphere MDM?

Enhanced Decision Making: Access to consistent and accurate data supports better strategic decisions.
Improved Efficiency: Streamlined data processes reduce manual interventions and errors.
Compliance Adherence: Helps in maintaining regulatory compliance through strong data governance features.
Cost Reduction: Minimizes operational expenses by reducing data inconsistencies and complexities.
Increased Customer Satisfaction: Consistent data insights lead to personalized and improved customer interactions.

Industries such as banking, healthcare, and retail often implement IBM InfoSphere MDM to align master data with business processes, ensuring accurate customer insights and regulatory reporting. In healthcare, it integrates patient information leading to enhanced care. Retail uses it to streamline supply chain operations while ensuring accurate product data.

IBM

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

L'Oreal S.A., Kingland Systems, Oncor, Farmaceuticos Maypo, Volkswagen Financial Services

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

IBM InfoSphere MDM vs. Qlik Talend Cloud

September 2026

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