IBM Master Data Management on Cloud vs Qlik Talend Cloud comparison

IBM and Qlik are both solutions in the Cloud Master Data Management (MDM) category. IBM is ranked #15, while Qlik is ranked #4 with an average rating of 8.0. IBM holds a 1.3% mindshare in CMDM, compared to Qlik’s 7.2% mindshare. Additionally, 88% of Qlik users are willing to recommend the solution.

IBM Master Data Management ...

Read 1 IBM Master Data Management on Cloud review

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155 Comparison Views

0% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

8,555 Views
770 Comparison Views

88% willing to recommend

IBM Master Data Management ...

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and IBM Master Data Management on Cloud are competing products in the cloud data management space. Qlik Talend Cloud often stands out for its ease of use and cost-effectiveness, while IBM Master Data Management on Cloud is perceived as more feature-rich.

Features: Qlik Talend Cloud is recognized for its intuitive data integration capabilities, robust analytics, and user-friendly interface. IBM Master Data Management on Cloud is valued for its comprehensive data governance, advanced data stewardship tools, and scalability, making it a strong choice for complex data management needs.

Ease of Deployment and Customer Service: Qlik Talend Cloud offers quick and hassle-free deployment with efficient customer support, helping users achieve results rapidly. IBM Master Data Management on Cloud, though more complex to deploy, provides detailed implementation guidance and extensive resources, ensuring users receive thorough support during the process.

Pricing and ROI: Qlik Talend Cloud is generally more affordable with a straightforward pricing model, offering a strong return on investment. IBM Master Data Management on Cloud involves a higher initial setup cost, justified by its advanced features, appealing to organizations with complex data management needs willing to invest in comprehensive capabilities.

To learn more, read our detailed Cloud Master Data Management (MDM) Report (Updated: March 2026).

Buyer's Guide

Cloud Master Data Management (MDM)

March 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 Master Data Management ...

Ranking in Cloud Master Data Management (MDM)

15th

Average Rating

0.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Cloud Master Data Management (MDM)

4th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of April 2026, in the Cloud Master Data Management (MDM) category, the mindshare of IBM Master Data Management on Cloud is 1.3%, up from 0.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.2%, up from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Master Data Management (MDM) Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	7.2%
IBM Master Data Management on Cloud	1.3%
Other	91.5%

Cloud Master Data Management (MDM)

Featured Reviews

reviewer1507302

Sr Solution Architect - Enterprise Storage and Virtualization at a computer software company with 501-1,000 employees

Effective service consolidation, new features frequent added, and beneficial centralized management

My advice to others would be IBM Master Data Management on Cloud should be considered as one of the solutions in comparison with other cloud providers in that area. Compare other solutions, such as Azure or AWS Endure data management. Based on some of the projects that we have had most customers have been extremely satisfied, I rate IBM Master Data Management on Cloud a nine out of ten.

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Herivao Jus Winny

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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"IBM Master Data Management on Cloud has been valuable because it has helped in the consolidation of services and lots of the cost of administering and centralizing all the management and automation. Additionally, new features are frequently added."

"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."

"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do."

"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."

"Better control and flexibility to add/custom define features, to tailor to your needs by modifying its Java generated code."

"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."

"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."

"The most valuable features of the Talend Data Management Platform are the components."

"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."

More Qlik Talend Cloud pros

Cons

"The solution is continually being improved by adding features. They should continue to improve the solution in the future."

"The solution is continually being improved by adding features."

"Processing large volumes of data sometimes consumes a lot of resources."

"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."

"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."

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

"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."

"The ability to change the code when debugging the JavaScript could be improved."

"The biggest challenge with Talend was its performance."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"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."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"License renewal is on a yearly basis."

"I have been using the open-source version."

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

"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."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

Questions from the Community

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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 ...

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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...

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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...

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Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Master Data Management on Cloud

Compared 36% of the time

Stibo STEP MDM vs IBM Master Data Management on Cloud

Compared 34% of the time

IBM InfoSphere MDM vs IBM Master Data Management on Cloud

Compared 30% of the time

More IBM Master Data Management on Cloud Competitors

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

Compared 4% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 3% of the time

n8n vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

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Cloud Master Data Management (MDM)

March 2026

IBM Master Data Management on Cloud report

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Qlik Talend Cloud

March 2026

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Also Known As

No data available

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

IBM Master Data Management on Cloud provides a proven master data management (MDM) solution on the IBM SoftLayer global cloud platform. It offers the rich features of an on-premises MDM deployment without the cost, complexity, and risk of managing your own infrastructure.

Based on IBM InfoSphere Master Data Management Advanced Edition, IBM MDM on Cloud is a multi-domain solution that comes preinstalled and ready to run in small, medium, and large server configurations. IBM MDM on Cloud also includes capabilities from IBM Business Process Manager and IBM InfoSphere Information Server.

IBM MDM on Cloud provides a cost-effective entry point to InfoSphere MDM and a path to easily add new environments. It supports the following use cases:

Quickly deploy development or test environments for new InfoSphere MDM projects.
Move all or part of your InfoSphere MDM workload to the cloud.
Comply with corporate mandates to move to the cloud.
Reduce risk and initial cost for new projects and deliver faster return on investment.

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

Zions Bancorporation, London Borough of Camden, Government of Odisha, 1-800-Flowers.com, Nordea Bank, Sonoma County, California, Localiza

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

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March 2026

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