Informatica Cloud Data Quality vs Talend Data Quality comparison

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Executive Summary

We performed a comparison between Informatica Cloud Data Quality and Talend Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Informatica Cloud Data Quality vs. Talend Data Quality Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature is the rule specification.""The user-friendliness and performance of Informatica is quite impressive.""The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based.""Initial setup was fairly easy.""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.""The profiling features are much better than the on-premise version.""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."

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"​It lowers the amount of time in development from weeks to a day.​""The file fetch process is impeccable.""The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms.""The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently.""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.""The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.""Provides a flexible development environment to the coder.​""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."

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Cons
"Some capabilities from the cloud version are not included in the on-premises version.""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.""If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience.""The high price of the product is an area of concern where improvements are required.""The integration with older technology and cloud quality needs improvement.""Logical views are a little bit behind in comparison to the on-premise version.""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."

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"I would say that some of the support elements need improvement.""In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations.""When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository.""SQL for displaying underlying data in non-match results does not work.""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.""The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time.""Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does.""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."

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Pricing and Cost Advice
  • "We pay for a yearly subscription."
  • "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."
  • More Informatica Cloud Data Quality Pricing and Cost Advice →

  • "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."
  • "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."
  • More Talend Data Quality Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The profiling features are much better than the on-premise version.
    Top Answer:We have complex datasets. Logical views are a little bit behind in comparison to the on-premise version.
    Top Answer:The solution is used for data quality implementation. We handle the whole life cycle of data quality from end to end, including rule specification and exception handling.
    Top Answer:The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    3rd
    out of 44 in Data Quality
    Views
    1,664
    Comparisons
    1,136
    Reviews
    6
    Average Words per Review
    546
    Rating
    8.0
    4th
    out of 44 in Data Quality
    Views
    1,561
    Comparisons
    753
    Reviews
    3
    Average Words per Review
    525
    Rating
    8.7
    Comparisons
    Also Known As
    Cloud Data Quality Radar
    Learn More
    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.

    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.
    Sample Customers
    Freddie Mac, Rabobank
    Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company13%
    Manufacturing Company9%
    Government6%
    REVIEWERS
    Insurance Company29%
    Pharma/Biotech Company14%
    Healthcare Company14%
    Marketing Services Firm14%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company13%
    Manufacturing Company9%
    Energy/Utilities Company7%
    Company Size
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    REVIEWERS
    Small Business56%
    Midsize Enterprise19%
    Large Enterprise25%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Informatica Cloud Data Quality vs. Talend Data Quality
    March 2024
    Find out what your peers are saying about Informatica Cloud Data Quality vs. Talend Data Quality and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. Informatica Cloud Data Quality is rated 8.2, while Talend Data Quality is rated 8.0. The top reviewer of Informatica Cloud Data Quality writes "Is user friendly and can handle large volumes of data without compromising performance". On the other hand, the top reviewer of Talend Data Quality writes "Saves a lot of time, good ROI, seamless integration with different databases, and stable". Informatica Cloud Data Quality is most compared with Informatica Data Quality and Syniti Data Quality, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Informatica Data Quality, Alteryx, Precisely Trillium and Informatica Address Verification. See our Informatica Cloud Data Quality vs. Talend Data Quality report.

    See our list of best Data Quality vendors.

    We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.