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 4.4% mindshare in DQ, compared to Talend’s 4.7% 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

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967 Comparison Views

75% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,368 Views
1,053 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: September 2025).

Buyer's Guide

Informatica Cloud Data Quality vs. Talend Data Quality

September 2025

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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 September 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 4.4%, down from 9.1% compared to the previous year. The mindshare of Talend Data Quality is 4.7%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Informatica Cloud Data Quality	4.4%
Talend Data Quality	4.7%
Other	90.9%

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."

"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."

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

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

"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."

"The quality of the data improves with Informatica Cloud Data Quality."

More Informatica Cloud Data Quality pros

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

"This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted."

"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 file fetch process is impeccable."

"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."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

"It lowers the amount of time in development from weeks to a day."

More Talend Data Quality pros

Cons

"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."

"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."

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

"I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."

"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."

"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."

"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."

More Informatica Cloud Data Quality cons

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

"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."

"The ability to change the code when debugging the JavaScript could be improved."

"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."

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"I would say that some of the support elements need improvement."

"You can't join more than two tables for analysis."

More Talend Data Quality cons

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."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

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

"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."

"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's a subscription-based platform, we renew it every year."

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Top Industries

By visitors reading reviews

Computer Software Company

11%

Financial Services Firm

11%

Manufacturing Company

11%

Healthcare Company

Computer Software Company

13%

Financial Services Firm

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	2
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	3
Large Enterprise	4

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 65% of the time

Ataccama ONE Platform vs Informatica Cloud Data Quality

Compared 13% of the time

SAP Data Quality Management vs Informatica Cloud Data Quality

Compared 11% of the time

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Ataccama ONE Platform vs Talend Data Quality

Compared 24% of the time

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

Compared 20% of the time

ibi Data Quality vs Talend Data Quality

Compared 13% of the time

DQ Global Data Quality vs Talend Data Quality

Compared 11% of the time

Experian Data Quality vs Talend Data Quality

Compared 6% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Informatica Cloud Data Quality

September 2025

Download Informatica Cloud Data Quality product report

Buyer's Guide

Talend Data Quality

August 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

September 2025

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

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