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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
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  • 1,950 Comparison Views
89% willing to recommend
 

Comparison Buyer's Guide

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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.

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Master Data Management (MDM) Software
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

Qlik Talend Cloud
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (8th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (7th)
Talend Open Studio for MDM ...
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Henrique Fsantos - PeerSpot reviewer
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
Mubahir Rashid - PeerSpot reviewer
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

"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."
"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 best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."
"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."
"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. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try."
"If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend."
"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."
"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."
More Qlik Talend Cloud pros
"The most valuable features are the stewardship and the data prep."
"I really like the data fabric."
"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

"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."
"SQL for displaying underlying data in non-match results does not work."
"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."
"The usage of memory. This tool uses a huge amount of memory."
"The documentation from version to version could be more accurate. I have found information that is inaccurate or doesn't apply to the version I am trying to install or work in."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"For us in New Zealand, it is quite expensive."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
More Qlik Talend Cloud cons
"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."
"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."
"I do not have notes for improvement."
 

Pricing and Cost Advice

"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 would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"The tool is cheap."
"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 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 licensing cost is about 40,000 Euros a year."
"The solution's pricing is very reasonable and half the cost of Informatica."
"I have been using the open-source version."
More Qlik Talend Cloud pricing and cost advice
"The licensing fees vary depending on the products that you purchase."
"It has one single license, and everything is included in it."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
11%
Construction Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
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 ...
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
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Earn 20 points
 

Comparisons

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Compared 2% of the time
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Compared 2% of the time
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Compared 17% of the time
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Compared 15% of the time
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Compared 11% of the time
SAP Master Data Governance vs Talend Open Studio for MDM [EOL] Logo
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Compared 9% of the time
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Compared 9% of the time
More Talend Open Studio for MDM [EOL] Competitors
 

Product Reports

Buyer's Guide
Qlik Talend Cloud
September 2026
Qlik Talend Cloud reportDownload Qlik Talend Cloud product report
Buyer's Guide
Master Data Management (MDM) Software
September 2026
Talend Open Studio for MDM [EOL] reportDownload 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
Buyer's Guide
Master Data Management (MDM) Software
September 2026
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