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Protegrity’s Data Protection Platform vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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

Protegrity’s Data Protectio...
Ranking in Data Governance
29th
Average Rating
8.6
Reviews Sentiment
5.7
Number of Reviews
5
Ranking in other categories
Database Security (6th), Data Masking (5th)
Qlik Talend Cloud
Ranking in Data Governance
9th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
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 Protegrity’s Data Protection Platform is 1.2%, up from 0.7% compared to the previous year. 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
ProductMindshare (%)
Qlik Talend Cloud2.0%
Protegrity’s Data Protection Platform1.2%
Other96.8%
Data Governance
 

Featured Reviews

BW
Java Application Developer at Hexaview Technologies
Data protection platform has secured sensitive test data and supports confident project work
In my opinion, Protegrity's Data Protection Platform has really worked well and has done the best work. What it lacks is quality features, but we cannot expect that unless in profiling types of tools. Masking is layered well in different types of data. I can say that the system works well. I have not had any downsides when working with this platform; most of the time it lags down only when we are working on large volumes of data, and that's when we can experience minimal lags. The needed improvement is that the system can be upgraded to be faster and more flexible when it comes to speed, so it can handle large volumes of data without any challenge.
HJ
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.

Quotes from Members

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

Pros

"Overall, I have had a positive experience with Protegrity’s Data Protection Platform, as it provides strong data protection capabilities, supports compliance requirements, and helps organizations securely use sensitive data across business and analytics workloads."
"I can fully recommend Protegrity's Data Protection Platform to others looking for data protection and for streamlining data operations in an organization because this is the most flexible platform for managing data in terms of security and production."
"The solution’s pricing is moderate."
"The most valuable feature of Protegrity Data Security is the reduction of information being exposed."
"Its technical support team is helpful."
"The product is stable."
"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."
"If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend."
"The solution is customizable."
"We can develop our own code if we do not see the functionality we need."
"The scheduling part of the solution is very good."
"The Studio is easy to understand."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"The availability of connectors is great."
 

Cons

"Protegrity’s Data Protection Platform could be improved by simplifying deployment and integrations, as well as providing more advanced reporting and dashboard capabilities."
"I can see that the price of Protegrity's Data Protection Platform is a bit high, but the setup is flexible, and the licensing terms are easy to manage, usually complying with our enterprise policies."
"Protegrity is using a different OS which has some bugs. Sometimes it's causing an initialization error."
"The solution's UI could be better."
"Protegrity Data Security could improve by having more integration."
"Not enough material is available for beginners."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"SQL for displaying underlying data in non-match results does not work."
"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."
"The solution's memory sometimes bottlenecks and that can be challenging."
"Sometimes when working with larger datasets (possibly due to insufficient memory)."
"First, We faced problems with stability of the products."
"The product must enhance the data quality."
 

Pricing and Cost Advice

"We pay for a few additional services apart from its licenses."
"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."
"I have been using the open-source version."
"License renewal is on a yearly basis."
"It's a subscription-based platform, we renew it every year."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"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 tool is cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Insurance Company
10%
Computer Software Company
8%
Comms Service Provider
8%
Financial Services Firm
15%
Comms Service Provider
10%
Construction Company
9%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

What needs improvement with Protegrity Data Security?
Protegrity’s Data Protection Platform could be improved by simplifying deployment and integrations, as well as providing more advanced reporting and dashboard capabilities. I would like to see a mo...
What is your primary use case for Protegrity Data Security?
I use Protegrity’s Data Protection Platform to protect sensitive customer and business data through data masking, tokenization, and encryption while supporting regulatory compliance with secure dat...
What advice do you have for others considering Protegrity Data Security?
The AI governance and security capabilities are aligned with enterprise requirements, providing policy-based control, data protection, and compliance support for AI, analytics, and workloads. Overa...
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 ...
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...
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...
 

Also Known As

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

Overview

 

Sample Customers

A $4 billion retail conglomerate and holding company
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Protegrity’s Data Protection Platform vs. Qlik Talend Cloud and other solutions. Updated: June 2026.
908,834 professionals have used our research since 2012.