DataMasque vs Qlik Talend Cloud comparison

DataMasque and Qlik are both solutions in the Data Governance category. DataMasque is ranked #30 with an average rating of 9.5, while Qlik is ranked #9 with an average rating of 7.8. DataMasque holds a 0.4% mindshare in DG, compared to Qlik’s 2.0% mindshare. Additionally, 100% of DataMasque users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

DataMasque

Read 4 DataMasque reviews

1,403 Views
379 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

16,429 Views
2,629 Comparison Views

89% willing to recommend

DataMasque

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and DataMasque are in the data management arena. Qlik Talend Cloud leads in support and flexibility, while DataMasque's feature set aligns with its pricing strategy.

Features:Qlik Talend Cloud integrates seamlessly with diverse data sources, automates ETL processes, and enhances data quality. DataMasque specializes in data masking, offers auto-generation of masking rules, and supports integration with various databases.

Room for Improvement:Qlik Talend Cloud could improve its pricing model, simplify the learning curve, and enhance real-time processing capabilities. DataMasque might extend its documentation, increase scalability for large datasets, and enhance user interface navigation.

Ease of Deployment and Customer Service:Qlik Talend Cloud features cloud deployment with comprehensive customer support. DataMasque provides a streamlined setup process and responsive technical support.

Pricing and ROI:Qlik Talend Cloud offers flexible pricing, providing strong ROI for connectivity-centric businesses. DataMasque entails higher upfront costs due to its advanced security features, justifying its investment for data protection-focused organizations.

To learn more, read our detailed DataMasque vs. Qlik Talend Cloud Report (Updated: August 2026).

Buyer's Guide

DataMasque vs. Qlik Talend Cloud

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

DataMasque

Ranking in Data Governance

30th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Masking (9th)

Qlik Talend Cloud

Ranking in Data Governance

9th

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

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of DataMasque is 0.4%. The mindshare of Qlik Talend Cloud is 2.0%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	2.0%
DataMasque	0.4%
Other	97.6%

Data Governance

Featured Reviews

Nierojan Pushparajan

Director of Software Engineering at TelliHealth

Masking sensitive test data has improved compliance and now enables safe, realistic debugging

The best features DataMasque offers that stand out to me are the flexibility to create rule sets and mask UUIDs, which have been really beneficial. Additionally, their customer service and technical support have been very helpful in getting this set up. The flexibility in creating rule sets has helped my team specifically because we have lots of dependencies on different databases and different database types. We have an RDS instance and an OpenSearch instance. Having those rule sets really allowed us to connect data between the two because the same data can be across multiple datasets. Creating these rules enabled us to not think too much about which ones need to be unique or which ones need to be the same across different tables. Whenever we run into issues or questions, we are able to talk to the DataMasque team, and they give us a reasonable technical response within a good timeframe that allows us to solve our issues pretty quickly. We have not had huge delays or blockers because of the communication between us and DataMasque. I appreciate the consistency to continue to improve the application, and there are new features coming out this year that will be tools we use. DataMasque is doing a great job of adding new features, and we will definitely be using them in the future. DataMasque has positively impacted our organization by already showing visible benefits in security and reduced risks for compliance, even though we are still in the process of setting up production and using it to the full extent. It will allow our developers to troubleshoot issues easily without the risk of viewing PHI or anything similar. We are seeing the benefits already of that, but we still need to complete the full integration and incorporate it into our workflows to see the full benefits, which we are currently in the process of. So far, it has been really good. By just masking production data, we can go into this masked database set to understand edge cases and issues as they come up from support without the developers having to look at any production data. They can go into this masked dataset and see the problem firsthand, something we would not have caught with our dev dataset because it is such a smaller amount of data, whereas production has a vast amount of data that we can look through.

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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

"Being able to generate the masking rules directly from the tool based on what it finds during the data discovery helps ensure that all sensitive fields are identified and masked."

"DataMasque has positively impacted our organization by already showing visible benefits in security and reduced risks for compliance, even though we are still in the process of setting up production and using it to the full extent."

"We can now have a staging environment very much like a production environment, which improves our testing and product quality."

"DataMasque has positively impacted our organization by absolutely allowing us to more rigorously test our products within a safe environment without leaking personally identifiable information."

"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."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

"The most valuable feature is the data loading and scripting language"

"The scheduling part of the solution is very good."

"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."

"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"The availability of connectors is great."

More Qlik Talend Cloud pros

Cons

"UUID generation could be improved."

"I think it would be great if the user experience was upgraded because it can be quite technical at times."

"The usage of memory. This tool uses a huge amount of memory."

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

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

"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."

"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."

"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."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"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 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."

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

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

"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."

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

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

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Energy/Utilities Company

26%

Construction Company

21%

Comms Service Provider

11%

Outsourcing Company

Financial Services Firm

15%

Comms Service Provider

10%

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What is your experience regarding pricing and costs for DataMasque?

As we are still in the early stages, I can't say anything definitive about pricing yet, but I believe it will be usage-based, which should work well.

See all answers

What needs improvement with DataMasque?

UUID generation could be improved. Although UUIDs were masked correctly, some validation rules were not supported, requiring a switch from validators to pattern matching. Expanding native UUID vali...

See all answers

What is your primary use case for DataMasque?

I created a staging environment with production-like data.

See all answers

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...

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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...

See all answers

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Product Reports

Buyer's Guide

Data Masking

August 2026

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Buyer's Guide

Qlik Talend Cloud

August 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

DataMasque offers robust data masking, maintaining referential integrity while ensuring security and compliance. Its features support realistic dataset testing without exposing sensitive data, integrating seamlessly across databases.

DataMasque is designed to protect PII and PHI by masking sensitive information across interconnected databases and cloud platforms. This ensures applications, reporting, and integrations are not impacted by structural inconsistencies. Its adaptable rule set and auto-generation of masking rules aid in swift deployment, enhancing data security frameworks and accelerating release cycles. DataMasque also provides strong technical support and continues to enhance its capabilities with ongoing improvements. Users find value in its existing functionality while looking forward to further usability enhancements, including expanded capabilities for unstructured data and improved post-masking validation.

What Are DataMasque's Main Features?

Identical Data Masking: Ensures masked data retains the appearance and formatting of original data, enhancing usability.
Referential Integrity Preservation: Maintains data relationships across systems, crucial for accurate testing and reporting.
Automation: Facilitates seamless integration and efficient masking operations without manual intervention.
Scalability: Supports growth and handles large datasets across distributed environments.
Compliance and Security Alignment: Helps meet regulatory requirements like GDPR while maintaining robust security.
Speed and Accuracy: Guarantees rapid data processing with precise masking rule application.
Rule Set Flexibility: Offers custom rules to adapt to specific data structures and needs.
Auto-Generation of Masking Rules: Automatically creates rules, speeding up deployment and reducing configuration errors.

What Benefits and ROI Should Users Consider?

Data Security Enhancement: Significantly reduces the risk of data breaches by masking PII and PHI.
Improved Compliance: Aligns with regulatory standards, helping avoid legal and financial penalties.
Faster Release Cycles: Reduces time to market by enabling secure, realistic testing environments.
Risk Reduction: Minimizes hazards associated with data exposure in non-production environments.
Integration Ease: Smoothly integrates across databases, maintaining consistency and accuracy.

DataMasque is implemented across technology, healthcare, finance, and retail industries to safeguard sensitive data without disrupting operations. It assures that development, testing, and analytics use environments that mirror live systems closely, which is critical for sectors handling large volumes of personal data.

DataMasque

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

Information Not Available

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

DataMasque vs. Qlik Talend Cloud

August 2026

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