Informatica Data Quality vs Talend Data Quality comparison

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Executive Summary

We performed a comparison between Informatica 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 Data Quality vs. Talend Data Quality Report (Updated: March 2024).
765,234 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 solution is stable.""I am impressed by the solution's interface.""It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy.""I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset.""The user interface is flexible and the visibility of the data flow is amazing.""There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data.""I give the stability a ten out of ten.""The profiling feature in Informatica Data Quality is incredibly effective for data governance."

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"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.""It reduces the QA effort immensely by handling most of the test scenarios in a reusable way.""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 lowers the amount of time in development from weeks to a day.​""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 solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management.""It has definitely streamlined certain processes.​""The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

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Cons
"The ability of the product to leverage the power of big data could be improved.""I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are.""Informatica is very expensive.""There is room for improvement in the Data Marketplace aspect.""There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny.""One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises.""Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling.""It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."

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"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.""The ability to change the code when debugging the JavaScript could be improved.""You can't join more than two tables for analysis.""There are too many functions which could be streamlined.""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.""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."

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Pricing and Cost Advice
  • "Informatica is very expensive."
  • "I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
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  • "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 feature in Informatica Data Quality is incredibly effective for data governance.
    Top Answer:Informatica's licensing cost is among the highest in the market. I would rate it as a five out of ten in terms of costliness. With Informatica, we have a single bundled agreement covering the entire… more »
    Top Answer:There is room for improvement in the Data Marketplace aspect. Specifically, we found some basic functionalities lacking, like transparent integration of quality indicators. Customizability and… more »
    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
    1st
    out of 44 in Data Quality
    Views
    3,638
    Comparisons
    2,014
    Reviews
    8
    Average Words per Review
    593
    Rating
    7.8
    4th
    out of 44 in Data Quality
    Views
    1,561
    Comparisons
    753
    Reviews
    3
    Average Words per Review
    525
    Rating
    8.7
    Comparisons
    Learn More
    Overview

    Deliver high-quality clean and trusted data with an enterprise class data quality and governance solution that scales, regardless of size or format or data, platform, or technology.

    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
    Condé Nast, Tani, U.S. Xpress Enterprise
    Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
    Top Industries
    REVIEWERS
    Computer Software Company31%
    Financial Services Firm23%
    Comms Service Provider15%
    Insurance Company8%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company12%
    Manufacturing Company11%
    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 Business17%
    Midsize Enterprise6%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business56%
    Midsize Enterprise19%
    Large Enterprise25%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Informatica Data Quality vs. Talend Data Quality
    March 2024
    Find out what your peers are saying about Informatica Data Quality vs. Talend Data Quality and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Informatica Data Quality is ranked 1st in Data Quality with 17 reviews while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. Informatica Data Quality is rated 7.8, while Talend Data Quality is rated 8.0. The top reviewer of Informatica Data Quality writes "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". 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 Data Quality is most compared with Informatica Cloud Data Quality, Trillium TS Quality, Oracle Data Quality, IBM Infosphere Information Analyzer and SAP Information Steward, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Alteryx, Precisely Trillium, Informatica Cloud Data Quality and Informatica Address Verification. See our Informatica 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.