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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 March 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 9.0%, down from 10.2% compared to the previous year. The mindshare of Talend Data Quality is 3.6%, down from 5.0% 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 beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"The profiling features are much better than the on-premise version."
"I would definitely recommend Informatica Data Quality to others."
"Stability-wise, I rate the solution a ten out of ten."
"The quality of the data improves with Informatica Cloud Data Quality."
"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"Initial setup was fairly easy."
"It has definitely streamlined certain processes.​"
"The solution is customizable."
"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."
"The Studio is easy to understand."
"We are able to get emails from URLs very easily using this function when others fail."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"tLogRows are also great for finding bad data."
"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."
 

Cons

"Improving the UI to be more business user-friendly would also be beneficial."
"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."
"The high price of the product is an area of concern where improvements are required."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"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."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"Some capabilities from the cloud version are not included in the on-premises version."
"The integration with older technology and cloud quality needs improvement."
"There are too many functions which could be streamlined."
"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."
"You can't join more than two tables for analysis."
"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."
"I would say that some of the support elements need improvement."
"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."
"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."
 

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."
"We pay for a yearly subscription."
"Informatica Cloud Data Quality is a costly solution."
"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."
"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."
"It's a subscription-based platform, we renew it every year."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
11%
Computer Software Company
7%
Educational Organization
6%
Financial Services Firm
15%
Computer Software Company
13%
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?
One of the features that I'm looking at is match capabilities at a material level, which is currently not customizable. I often have to write code and tweak the features. Additionally, the user int...
What is your primary use case for Informatica Cloud Data Quality?
I use Informatica Data Quality for data profiling before starting any migration projects to understand what the data looks like. I also run quality reports on it, with mappings written for differen...
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: March 2025.
842,592 professionals have used our research since 2012.