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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 7.8, while Talend is ranked #6 with an average rating of 8.0. Informatica holds a 7.6% mindshare in DQ, compared to Talend’s 4.4% 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
  • 977 Views
  • 967 Comparison Views
75% willing to recommend
Talend Data Quality
Read 20 Talend Data Quality reviews
  • 1,330 Views
  • 678 Comparison Views
89% willing to recommend
 

Comparison Buyer's Guide

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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.

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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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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
17
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 July 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 7.6%, down from 9.9% compared to the previous year. The mindshare of Talend Data Quality is 4.4%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Mehmet SukruKaya - PeerSpot reviewer
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 - 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.
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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

"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."
"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."
"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 beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"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."
"The quality of the data improves with Informatica Cloud Data Quality."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
More Informatica Cloud Data Quality pros
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"The Studio is easy to understand."
"The file fetch process is impeccable."
"Provides a flexible development environment to the coder.​"
"We are able to get emails from URLs very easily using this function when others fail."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"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

"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."
"If a new solution has the same features and less investment, it would be worth considering."
"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."
"Support response time could be better."
"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."
"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."
"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 stable."
More Informatica Cloud Data Quality cons
"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."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"You can't join more than two tables for analysis."
"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."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"The ability to change the code when debugging the JavaScript could be improved."
"SQL for displaying underlying data in non-match results does not work."
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."
"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."
"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."
"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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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
6%
Computer Software Company
13%
Financial Services Firm
11%
Manufacturing Company
7%
Government
7%
 

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...
See all answers
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
 

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Compared 24% of the time
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Compared 19% of the time
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Compared 11% of the time
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Product Reports

Buyer's Guide
Informatica Cloud Data Quality
July 2025
Informatica Cloud Data Quality reportDownload Informatica Cloud Data Quality product report
Buyer's Guide
Talend Data Quality
July 2025
Talend Data Quality reportDownload 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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