Informatica Cloud Data Quality vs Talend Data Quality comparison

Informatica and Talend are both solutions in the Data Quality category. Informatica is ranked #3 with an average rating of 7.9, while Talend is ranked #5 with an average rating of 8.0. Informatica holds a 6.6% mindshare in DQ, compared to Talend’s 5.5% mindshare. Additionally, 75% of Informatica users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Informatica Cloud Data Quality

Read 17 Informatica Cloud Data Quality reviews

951 Views
941 Comparison Views

75% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,296 Views
1,037 Comparison Views

89% willing to recommend

Informatica Cloud Data Quality

Talend Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Talend Data Quality and Informatica Cloud Data Quality are competing in the data management category. Talend Data Quality has an edge in pricing and support, while Informatica leads with robust features, making it a valuable investment.

Features: Talend Data Quality is known for real-time data cleansing, profiling capabilities, and custom development flexibility, which are essential for maintaining data accuracy. It offers advanced algorithms for data operations such as fuzzy matching and address standardization with the flexibility of custom code. Informatica Cloud Data Quality provides extensive integration and transformation features, including high scalability, dynamic data masking, and seamless integration with databases for data governance. It excels in cloud-based data profiling and governance complemented by a rule engine for quality enhancements.

Room for Improvement: Talend Data Quality could enhance its initial setup process to streamline deployment, better manage Java integration complexity, and improve its real-time analytics capabilities. Enhancements in community-led support and addressing scalability can further benefit users. Informatica could benefit from enhanced user interface intuitiveness and streamlined budgeting for improved transparency. Increasing the flexibility to modify pre-existing data models and improving support for smaller enterprises may widen its usability.

Ease of Deployment and Customer Service: Informatica Cloud Data Quality offers a cloud-based deployment model, simplifying setup with robust customer service for troubleshooting. Its cloud environment reduces the need for server maintenance. Talend Data Quality supports cloud deployment but demands more initial effort, lacking the seamless integration enjoyed by Informatica. While Talend offers strong community support, the initial setup process could be smoother.

Pricing and ROI: Talend Data Quality is more budget-friendly with a lower initial setup cost, appealing to budget-conscious organizations while delivering strong ROI through effective data management solutions. Informatica Cloud Data Quality involves a higher setup cost, justified by its feature-rich environment enhancing data governance and integration. Informatica's investment ensures significant returns over time due to its comprehensive capabilities and advanced data quality features.

To learn more, read our detailed Informatica Cloud Data Quality vs. Talend Data Quality Report (Updated: July 2025).

Buyer's Guide

Informatica Cloud Data Quality vs. Talend Data Quality

July 2025

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Helped 865,164 peers since 2012

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

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Quality

Ranking in Data Quality

5th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Scrubbing Software (3rd)

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 6.6%, down from 9.0% compared to the previous year. The mindshare of Talend Data Quality is 5.5%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Mehmet SukruKaya

Senior Data Analytics Manager at Esan

Improved data quality significantly enhances project efficiency and effectiveness

I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.

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WesamHabboub

Chief Consultant at Insight360

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.

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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 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."

"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."

"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."

"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."

"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."

More Informatica Cloud Data Quality pros

"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."

"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 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."

"The Studio is easy to understand."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"tLogRows are also great for finding bad data."

More Talend Data Quality pros

Cons

"If a new solution has the same features and less investment, it would be worth considering."

"Logical views are a little bit behind in comparison to the on-premise version."

"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)."

"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."

"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."

"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."

"The high price of the product is an area of concern where improvements are required."

More Informatica Cloud Data Quality cons

"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."

"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."

"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."

"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."

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

"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."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."

More Talend Data Quality cons

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."

"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."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

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865,164 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

11%

Manufacturing Company

11%

Healthcare Company

Computer Software Company

13%

Financial Services Firm

10%

Government

Manufacturing Company

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.

See all answers

What needs improvement with Informatica Cloud Data Quality?

I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...

See all answers

What is your primary use case for Informatica Cloud Data Quality?

I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...

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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.

See all answers

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...

See all answers

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...

See all answers

Comparisons

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Compared 62% of the time

Ataccama ONE Platform vs Informatica Cloud Data Quality

Compared 16% of the time

IBM Infosphere Information Analyzer vs Informatica Cloud Data Quality

Compared 13% of the time

SAP Data Quality Management vs Informatica Cloud Data Quality

Compared 9% of the time

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Ataccama ONE Platform vs Talend Data Quality

Compared 28% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality

Compared 23% of the time

ibi Data Quality vs Talend Data Quality

Compared 14% of the time

DQ Global Data Quality vs Talend Data Quality

Compared 12% of the time

Precisely Trillium vs Talend Data Quality

Compared 10% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Informatica Cloud Data Quality

August 2025

Download Informatica Cloud Data Quality product report

Buyer's Guide

Talend Data Quality

July 2025

Download Talend Data Quality product report

Also Known As

Cloud Data Quality Radar

No data available

Overview

Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

Informatica

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

Sample Customers

Freddie Mac, Rabobank

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Informatica Cloud Data Quality vs. Talend Data Quality

July 2025

Free Report: Informatica Cloud Data Quality vs. Talend Data Quality

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