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Informatica Data Quality vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

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

Informatica Data Quality
Ranking in Data Quality
25th
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Quality
2nd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (6th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Featured Reviews

Hemanthreddy Vakiti - PeerSpot reviewer
Data engineer at a tech vendor with 10,001+ employees
Data quality checks have reduced manual monitoring but still face cost and performance issues
Some of the best features Informatica Data Quality offers include AI automation using CLAIRE, which integrates AI with Informatica Data Quality, and its user-friendly drag-and-drop interface. All of this is simply usable to any person who has minimal knowledge of ETL. Rather than querying every table to check for any duplicate entries or null values, it is impossible to query for each site. Once we integrate it with Informatica Data Quality and use the drag-and-drop function to specify the conditions we need and connect to the databases, it directly checks if the values are within the threshold or if we can set conditions, such as not entering records with null values. It also features a match and merge condition, from which data profiling and data cleansing can be done.
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

"Since we integrated Informatica Data Quality in our project, the amount of human interaction has reduced, so the team has decreased, resulting in cost savings for our project and improved time by automating checks for missing or null values."
"About Informatica Data Quality, I do not think that I have any questions because the product is very good."
"​It lowers the amount of time in development from weeks to a day.​"
"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."
"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 tool was mainly used for ETL processes to apply governance rules on data."
"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."
"I like everything about this product, but the biggest thing is the ease of use."
"The solution is very user-friendly and easy to understand."
"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."
 

Cons

"The scalability is not up to mark in my view because even a small increase in data, like the number of rows, can cause the server to crash, requiring a reboot."
"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."
"As it is a open source tool, some minor bugs are there."
"I encountered scalability issues."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."
"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."
"The product's setup process could be simpler."
"There are no natural connections for some of the applications that I use more regularly."
 

Pricing and Cost Advice

Information not available
"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 tool is cheap."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"I have been using the open-source version."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Comms Service Provider
9%
Construction Company
8%
Computer Software Company
6%
 

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 is your experience regarding pricing and costs for Informatica Data Quality?
I have been informed by our management team that the pricing is high, but I am not sure about the specific figures regarding what the pricing is.
What needs improvement with Informatica Data Quality?
One thing is that, compared to the features provided by Informatica Data Quality, when compared to other tools offering similar features, it is somewhat costly. The scalability is not up to mark co...
What is your primary use case for Informatica Data Quality?
We are using Informatica PowerCenter for ETL, and simultaneously we are using Informatica Data Quality for data profiling, validation, to remove duplicate entries, and for data cleansing. Ours is a...
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 Informatica, Qlik, SAP and others in Data Quality. Updated: June 2026.
902,988 professionals have used our research since 2012.