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 8.0, while Talend is ranked #5 with an average rating of 8.0. Informatica holds a 4.4% mindshare in DQ, compared to Talend’s 4.9% mindshare. Additionally, 75% of Informatica users are willing to recommend the solution, compared to 90% of Talend users who would recommend it.

Informatica Cloud Data Quality

Read 17 Informatica Cloud Data Quality reviews

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896 Comparison Views

75% willing to recommend

Talend Data Quality

Read 21 Talend Data Quality reviews

1,324 Views
1,019 Comparison Views

90% 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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Helped 872,706 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

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (4th)

Mindshare comparison

As of October 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 4.4%, down from 8.7% compared to the previous year. The mindshare of Talend Data Quality is 4.9%, down from 6.1% 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	4.9%
Other	90.7%

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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Karthik Babu

Senior Consultant at a tech services company with 201-500 employees

Have consistently ensured data accuracy and validation with built-in algorithms

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not well-versed with the latest technology, so I cannot suggest additional functions that could make the product better or simplify my work with it. Generally, whatever jobs we have written in Talend Data Quality are working fine, so I am satisfied with that.

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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

"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."

"The most valuable feature is the rule specification."

"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."

"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 would definitely recommend Informatica Data Quality to others."

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."

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

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."

"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."

"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."

"tLogRows are also great for finding bad data."

"The file fetch process is impeccable."

"It has definitely streamlined certain processes."

"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."

More Talend Data Quality pros

Cons

"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."

"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."

"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."

"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."

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

"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."

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

More Informatica Cloud Data Quality cons

"SQL for displaying underlying data in non-match results does not work."

"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."

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

"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."

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

"There are too many functions which could be streamlined."

"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."

More Talend Data Quality cons

Pricing and Cost Advice

"We pay for a yearly subscription."

"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."

"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."

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

11%

Computer Software Company

10%

Healthcare Company

Computer Software Company

11%

Manufacturing Company

Financial Services Firm

Comms Service Provider

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	4
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 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

What is your primary use case for Talend Data Quality?

We recently deployed it for one of our clients, who use it to enhance the quality of their government-related customer data. The primary focus is on ensuring compliance with government policies, an...

See all answers

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Compared 10% of the time

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Product Reports

Buyer's Guide

Informatica Cloud Data Quality

October 2025

Download Informatica Cloud Data Quality product report

Buyer's Guide

Talend Data Quality

October 2025

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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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