Qlik Talend Cloud vs Talend Open Studio for MDM [EOL] comparison

Why PeerSpot?

Qlik Talend Cloud and Talend Open Studio for MDM [EOL] are both solutions in the Master Data Management (MDM) Software category. Additionally, 89% of Qlik Talend Cloud users are willing to recommend the solution, compared to 100% of Talend Open Studio for MDM [EOL] users who would recommend it.

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

18,135 Views
1,632 Comparison Views

89% willing to recommend

Talend Open Studio for MDM ...

Read 3 Talend Open Studio for MDM [EOL] reviews

100% willing to recommend

Qlik Talend Cloud

Talend Open Studio for MDM ...

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Executive SummaryUpdated on Nov 18, 2025

Qlik Talend Cloud and Talend Open Studio for MDM [EOL] compete in the data integration and management category. Qlik Talend Cloud appears to have the upper hand due to its active support and seamless integration capabilities.

Features: Qlik Talend Cloud offers cloud-based architecture, intuitive dashboards, and advanced analytics. Talend Open Studio for MDM [EOL] features strong data quality management, governance features, and robust MDM functionalities.

Ease of Deployment and Customer Service: Qlik Talend Cloud enables a streamlined deployment process with comprehensive customer support and regular updates. Talend Open Studio for MDM [EOL] requires on-premise deployment and lacks ongoing support, complicating its maintenance.

Pricing and ROI: Qlik Talend Cloud provides competitive pricing with flexible plans, demonstrating clear ROI through scalability and continuous support. Talend Open Studio for MDM [EOL] incurs higher maintenance costs over time due to its discontinued nature, negatively impacting its ROI compared to the cloud solution.

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

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Master Data Management (MDM) Software

August 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

Qlik Talend Cloud

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), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)

Talend Open Studio for MDM ...

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

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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Mubahir Rashid

Data Analytics Consultant at Aletha Corp

Good data fabric and a straightforward setup with the ability to extend

I really like the data fabric. In my data fabric, we have a component related to cloud computing that is quite useful. The data fabric has improved over the previous version. The user interface is fine. There are good integrations possible with the product. The initial setup is very straightforward. It is a scalable product.

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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

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."

"The availability of connectors is great."

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

"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

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

"The tool was mainly used for ETL processes to apply governance rules on data."

More Qlik Talend Cloud pros

"I really like the data fabric."

"The most valuable features are the stewardship and the data prep."

"The biggest advantage of Talend is that they have an active community, and if we face any issue, we can get input in a short duration of time."

Cons

"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."

"The product must enhance the data quality."

"Not enough material is available for beginners."

"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."

"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."

"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."

"Qlik Talend Cloud has impacted my organization by increasing the license cost, leading many companies to decide to decommission Talend, as they find the cost too high."

"I would say that some of the support elements need improvement."

More Qlik Talend Cloud cons

"I do not have notes for improvement."

"From the UI side, it'll trouble a lot."

"Creating a model and deploying it is a little bit tricky in Talend, compared to other tools."

"It can definitely be improved on the UI side. They can provide a better UI as compared to what is currently available. I'm trying to set up the UI to capture some information, and when I try to use the native feature of Talend, I'm finding it difficult. It could be improved a bit. Only when it comes to MDM, it is not user-friendly, but when it comes to data integration of Big Data, it's extremely user-friendly."

Pricing and Cost Advice

"The solution's pricing is very reasonable and half the cost of Informatica."

"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."

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

"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 licensing cost is about 40,000 Euros a year."

"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 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."

More Qlik Talend Cloud pricing and cost advice

"It has one single license, and everything is included in it."

"The licensing fees vary depending on the products that you purchase."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

10%

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

Questions from the Community

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 Qlik Talend Cloud

Compared 4% 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

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Microsoft MDS vs Talend Open Studio for MDM [EOL]

Compared 19% of the time

TIBCO EBX vs Talend Open Studio for MDM [EOL]

Compared 15% of the time

Semarchy xDM vs Talend Open Studio for MDM [EOL]

Compared 11% of the time

SAP Master Data Governance vs Talend Open Studio for MDM [EOL]

Compared 10% of the time

Ataccama ONE Platform vs Talend Open Studio for MDM [EOL]

Compared 9% of the time

More Talend Open Studio for MDM [EOL] Competitors

Product Reports

Buyer's Guide

Qlik Talend Cloud

August 2026

Download Qlik Talend Cloud product report

Buyer's Guide

Master Data Management (MDM) Software

August 2026

Download Talend Open Studio for MDM [EOL] product report

Also Known As

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

No data available

Overview

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

Talend Open Studio for MDM [EOL] is an open-source platform designed for data management and integration tasks, offering robust features to streamline data governance and enhance data quality in businesses.

Recognized for its comprehensive data management capabilities, Talend Open Studio for MDM [EOL] allows businesses to centralize and synchronize their data. It supports data quality improvement and ensures consistency across multiple systems. Its user-friendly nature and powerful integration abilities make it suitable for handling complex data landscapes and managing master data effectively.

What are the key features?

Data Integration: Streamlines data flows between disparate sources.
Data Quality: Tools for data cleansing and standardization.
Data Synchronization: Ensures real-time data updates across systems.
Open Source: A community-driven, customizable platform.
Flexible Deployment: Options for on-premise or cloud.

What benefits and ROI should users look for?

Cost Efficiency: Open-source nature reduces licensing expenses.
Scalability: Adapts to business growth and data volume increases.
Improved Decision-Making: Enhanced data quality leads to better insights.
Operational Efficiency: Automation reduces manual data handling.

In sectors like retail, finance, and healthcare, Talend Open Studio for MDM [EOL] implementation can transform data handling processes. These industries leverage its capabilities to ensure accuracy and consistency in master data, leading to improved compliance and decision-making based on reliable data.

Qlik

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Information Not Available

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August 2026

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