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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
8.2
Reviews Sentiment
7.4
Number of Reviews
13
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 April 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 9.2%, down from 10.3% compared to the previous year. The mindshare of Talend Data Quality is 3.5%, down from 4.8% 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

"Stability-wise, I rate the solution a ten out of ten."
"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."
"Initial setup was fairly easy."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"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."
"The user-friendliness and performance of Informatica is quite impressive."
"The profiling features are much better than the on-premise version."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"We are able to get emails from URLs very easily using this function when others fail."
"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"tLogRows are also great for finding bad data."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"Provides a flexible development environment to the coder.​"
"​It lowers the amount of time in development from weeks to a day.​"
"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

"The high price of the product is an area of concern where improvements are required."
"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."
"The integration with older technology and cloud quality needs improvement."
"Logical views are a little bit behind in comparison to the on-premise version."
"Improving the UI to be more business user-friendly would also be beneficial."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"There are too many functions which could be streamlined."
"The ability to change the code when debugging the JavaScript could be improved."
"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."
 

Pricing and Cost Advice

"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."
"Informatica Cloud Data Quality is a costly solution."
"We pay for a yearly subscription."
"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 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."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
8%
Performing Arts
6%
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
10%
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?
Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stabl...
What is your primary use case for Informatica Cloud Data Quality?
We use Informatica Cloud Data Quality ( /products/informatica-cloud-data-quality-reviews ) in a medium business environment.
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: April 2025.
848,253 professionals have used our research since 2012.