Informatica Address Verification vs Talend Data Quality comparison

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Informatica Logo
700 views|451 comparisons
100% willing to recommend
Talend Logo
1,486 views|696 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Address Verification 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 Address Verification vs. Talend Data Quality Report (Updated: May 2024).
770,428 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 scalability is very high."

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"​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.​""​It lowers the amount of time in development from weeks to a day.​""It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues.""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.""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.""tLogRows are also great for finding bad data.""The solution is customizable.""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."

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Cons
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."

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"The ability to change the code when debugging the JavaScript could be improved.""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.""There are too many functions which could be streamlined.""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.""Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data.""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."

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Pricing and Cost Advice
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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."
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    Questions from the Community
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    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
    12th
    out of 56 in Data Quality
    Views
    700
    Comparisons
    451
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    out of 56 in Data Quality
    Views
    1,486
    Comparisons
    696
    Reviews
    3
    Average Words per Review
    525
    Rating
    8.7
    Comparisons
    Also Known As
    AddressDoctor Data Quality
    Learn More
    Overview

    Data as a Service (DaaS) helps organizations of all sizes verify and enrich their data so they can confidently engage with their customers. With customer experience and engagement a top focus across all industries, ensure that messages and products make it to their intended targets via postal mail, email, or phone.

    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
    Emerson Process Management, JLL
    Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
    Top Industries
    VISITORS READING REVIEWS
    Manufacturing Company17%
    Financial Services Firm17%
    Computer Software Company10%
    Healthcare Company9%
    REVIEWERS
    Insurance Company29%
    Pharma/Biotech Company14%
    Healthcare Company14%
    Marketing Services Firm14%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company13%
    Manufacturing Company9%
    Energy/Utilities Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise74%
    REVIEWERS
    Small Business56%
    Midsize Enterprise19%
    Large Enterprise25%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    Buyer's Guide
    Informatica Address Verification vs. Talend Data Quality
    May 2024
    Find out what your peers are saying about Informatica Address Verification vs. Talend Data Quality and other solutions. Updated: May 2024.
    770,428 professionals have used our research since 2012.

    Informatica Address Verification is ranked 12th in Data Quality while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. Informatica Address Verification is rated 8.4, while Talend Data Quality is rated 8.0. The top reviewer of Informatica Address Verification writes "Scalable, ensures proper data governance, and is easy to set up". 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 Address Verification is most compared with Trillium TS Quality, Melissa Data Quality, Ataccama DQ Analyzer, Posidex Technologies Data Quality and SAP Data Quality Management, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Informatica Data Quality, Alteryx, Precisely Trillium and Informatica Cloud Data Quality. See our Informatica Address Verification 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.