No more typing reviews! Try our Samantha, our new voice AI agent.

Information Builders Data Governance 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

Information Builders Data G...
Ranking in Data Governance
46th
Average Rating
7.0
Reviews Sentiment
8.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Governance
8th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
55
Ranking in other categories
Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of Information Builders Data Governance is 0.6%, up from 0.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.0%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.0%
Information Builders Data Governance0.6%
Other97.4%
Data Governance
 

Featured Reviews

ES
Partner channel manager at Inactic
Balancing robust scalability with cloud features enhancements for streamlined operation
We're implementing this solution to assist our customer service in gaining a more comprehensive view of their environment. They currently manage over two hundred applications but lack a clear understanding of which ones are critical, especially concerning compliance in the insurance industry. By implementing it, we aim to alleviate the burden, identify redundant processes, and streamline their operations. It's about addressing these specific needs and optimizing their workflow. We're focusing on aligning the features with their requirements, and they are making significant progress on this journey, helping each of their companies move towards a centralized and efficient approach.
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

"It has an intuitive data quality engine that allows you to modify data, and apply rules to standardize it, and it's an excellent initial stage."
"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."
"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."
"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."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."
"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
 

Cons

"The on-premise features are undeniably robust, but having equally powerful capabilities in the cloud would be a significant enhancement."
"You can't join more than two tables for analysis."
"Performance and speed could be improved."
"I encountered scalability issues."
"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"There are too many functions which could be streamlined."
"The solution's memory sometimes bottlenecks and that can be challenging."
"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."
 

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 licensing cost is about 40,000 Euros a year."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"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."
"License renewal is on a yearly basis."
"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 would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"It's a subscription-based platform, we renew it every year."
report
Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
893,244 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Comms Service Provider
8%
Computer Software Company
8%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
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

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

 

Sample Customers

Information Not Available
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: April 2026.
893,244 professionals have used our research since 2012.