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Informatica Cloud Data Quality vs Talend Data Quality comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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 Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Talend Data Quality
Ranking in Data Quality
6th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
20
Ranking in other categories
Data Scrubbing Software (2nd)
 

Mindshare comparison

As of July 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 7.6%, down from 9.9% compared to the previous year. The mindshare of Talend Data Quality is 4.4%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

TaherDungrawala - PeerSpot reviewer
Has good reusability and CDI features
I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.
WesamHabboub - PeerSpot reviewer
Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy
Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. 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 most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

Quotes from Members

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

Pros

"The most valuable feature is the rule specification."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"Initial setup was fairly easy."
"The quality of the data improves with Informatica Cloud Data Quality."
"Stability-wise, I rate the solution a ten out of ten."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"Informatica Cloud Data Quality was most valuable for our real-time data quality monitoring needs."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"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."
"​It lowers the amount of time in development from weeks to a day.​"
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"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."
"Provides a flexible development environment to the coder.​"
"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."
"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."
 

Cons

"Support response time could be better."
"Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"Improving the UI to be more business user-friendly would also be beneficial."
"The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"Logical views are a little bit behind in comparison to the on-premise version."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"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."
"The ability to change the code when debugging the JavaScript could be improved."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"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."
"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

"Informatica Cloud Data Quality is a costly solution."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"We pay for a yearly subscription."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"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."
"It's a subscription-based platform, we renew it every year."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
10%
Healthcare Company
7%
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden, especially since we followed...
What is your primary use case for Informatica Cloud Data Quality?
The main use case we had with Informatica Cloud Data Quality was real-time data quality monitoring. When customer information was entered into a tool in real time, we were able to run data quality ...
What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
What is your experience regarding pricing and costs for Talend Data Quality?
There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...
What needs improvement with Talend Data Quality?
Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...
 

Also Known As

Cloud Data Quality Radar
No data available
 

Overview

 

Sample Customers

Freddie Mac, Rabobank
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Informatica Cloud Data Quality vs. Talend Data Quality and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.