DataMasque vs Qlik Talend Cloud comparison

DataMasque and Qlik are both solutions in the Data Governance category. DataMasque is ranked #25 with an average rating of 9.5, while Qlik is ranked #8 with an average rating of 8.0. DataMasque holds a 0.3% mindshare in DG, compared to Qlik’s 1.8% mindshare. Additionally, 100% of DataMasque users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

DataMasque

Read 4 DataMasque reviews

427 Views
162 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

8,555 Views
1,369 Comparison Views

88% willing to recommend

DataMasque

Qlik Talend Cloud

Comparison Buyer's Guide

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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: March 2026).

Buyer's Guide

DataMasque vs. Qlik Talend Cloud

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

DataMasque

Ranking in Data Governance

25th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Masking (13th)

Qlik Talend Cloud

Ranking in Data Governance

8th

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), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of March 2026, in the Data Governance category, the mindshare of DataMasque is 0.3%. The mindshare of Qlik Talend Cloud is 1.8%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	1.8%
DataMasque	0.3%
Other	97.9%

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

"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."

"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."

"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."

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

"We are able to get emails from URLs very easily using this function when others fail."

"Maybe the best thing is the product's easy start-up level when you are familiar with Java."

"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"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."

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."

"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."

"If you are looking for something that is stable, cost-effective and has a great ROI, then Talend is a great choice."

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 stability for Talend Data Quality can be rated around an 8; it is quite stable."

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

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

"First, We faced problems with stability of the products."

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

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

"There are no natural connections for some of the applications that I use more regularly."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

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

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

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

"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 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."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Energy/Utilities Company

35%

Construction Company

19%

Comms Service Provider

Computer Software Company

Financial Services Firm

13%

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

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.

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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...

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What is your primary use case for DataMasque?

I created a staging environment with production-like data.

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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

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Product Reports

Buyer's Guide

Data Masking

March 2026

Download DataMasque product report

Buyer's Guide

Qlik Talend Cloud

March 2026

Download Qlik Talend Cloud product report

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 provides a simple way to irreversibly replace sensitive data with realistic alternatives to help simplify compliance without compromising data functionality and usability in development and testing environments.

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

March 2026

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