Ataccama DQ Analyzer vs Talend Data Quality comparison

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Ataccama Logo
682 views|388 comparisons
100% willing to recommend
Talend Logo
841 views|389 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Ataccama DQ Analyzer and Talend Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Scrubbing Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Ataccama DQ Analyzer vs. Talend Data Quality Report (Updated: May 2024).
772,567 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
"It is also easy to deploy.""The data profile itself is excellent. You can understand the quality of the data in layman's terms."

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"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.​""​It lowers the amount of time in development from weeks to a day.​""The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms.""The solution is customizable.""The file fetch process is impeccable.""We are able to get emails from URLs very easily using this function when others fail.""It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

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Cons
"They could focus more on marketing the product. The current marketing strategy is not working.""Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."

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"SQL for displaying underlying data in non-match results does not work.""Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data.""The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time.""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.""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.""There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions.""You can't join more than two tables for analysis.""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
  • "There is no need to buy a license. You can just download it and use it for free."
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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
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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
    3rd
    Views
    682
    Comparisons
    388
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    1st
    Views
    841
    Comparisons
    389
    Reviews
    3
    Average Words per Review
    525
    Rating
    8.7
    Comparisons
    Also Known As
    DQ Analyzer
    Learn More
    Overview
    DQ Analyzer (DQA) combines advanced data profiling and analysis capabilities with a point-and-click interface that is simple enough for business managers to use without extensive training.
    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
    University of Arizona
    Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Manufacturing Company12%
    Energy/Utilities Company11%
    Computer Software 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 Business16%
    Midsize Enterprise13%
    Large Enterprise71%
    REVIEWERS
    Small Business56%
    Midsize Enterprise19%
    Large Enterprise25%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Ataccama DQ Analyzer vs. Talend Data Quality
    May 2024
    Find out what your peers are saying about Ataccama DQ Analyzer vs. Talend Data Quality and other solutions. Updated: May 2024.
    772,567 professionals have used our research since 2012.

    Ataccama DQ Analyzer is ranked 3rd in Data Scrubbing Software while Talend Data Quality is ranked 1st in Data Scrubbing Software with 20 reviews. Ataccama DQ Analyzer is rated 7.8, while Talend Data Quality is rated 8.0. The top reviewer of Ataccama DQ Analyzer writes "Is easy to deploy and is free, but marketing strategies need improvement". 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". Ataccama DQ Analyzer is most compared with Alteryx and Informatica Address Verification, whereas Talend Data Quality is most compared with Informatica Data Quality, Alteryx, Precisely Trillium, Informatica Cloud Data Quality and Ataccama ONE Platform. See our Ataccama DQ Analyzer vs. Talend Data Quality report.

    See our list of best Data Scrubbing Software vendors.

    We monitor all Data Scrubbing Software 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.