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Melissa Data Quality vs Talend Data Quality comparison

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Featured Review
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Quotes From Members
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Here are some excerpts of what they said:
Pros
"The high value in this tool is its relatively low cost, ease of use, tight integration with SSIS, superior performance (compared to competitors), and attribute-level advanced survivor-ship logic."

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"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it.""The solution is customizable.""The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

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Cons
"The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation however all SSIS components are resizable so that isn't true. This is just an annoyance but needless."

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"I would say that some of the support elements need improvement.""The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time.""They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

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Pricing and Cost Advice
  • "This vendor has no equal in pricing for equivalent functionality."
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  • "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."
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    Top Answer: 
    Talend DQ module is more focused around data profiling, so we have some teams in our organization from data governance who use it to profile the data to find anomalies in the data.
    Top Answer: 
    It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the… more »
    Top Answer: 
    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… more »
    Ranking
    7th
    out of 41 in Data Quality
    Views
    1,137
    Comparisons
    573
    Reviews
    1
    Average Words per Review
    1,884
    Rating
    9.0
    5th
    out of 41 in Data Quality
    Views
    1,712
    Comparisons
    1,031
    Reviews
    3
    Average Words per Review
    903
    Rating
    9.0
    Comparisons
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    Overview

    Data Quality Components for SSIS

    This suite of data transformations for Microsoft SQL Server Integration Services (SSIS) delivers the full spectrum of data quality including data profiling, data verification, data enrichment and data matching. With an intuitive interface and drag/drop capabilities, this powerful toolkit makes it easy to unify data into a single version of the truth for Master Data Management (MDM) success.

    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.
    Offer
    Learn more about Melissa Data Quality
    Learn more about Talend Data Quality
    Sample Customers
    Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
    Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
    Top Industries
    REVIEWERS
    Healthcare Company16%
    Retailer11%
    Financial Services Firm11%
    Government11%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider11%
    Financial Services Firm7%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company33%
    Comms Service Provider12%
    Financial Services Firm9%
    Energy/Utilities Company5%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise15%
    Large Enterprise54%
    REVIEWERS
    Small Business54%
    Midsize Enterprise15%
    Large Enterprise31%
    Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: January 2022.
    564,599 professionals have used our research since 2012.

    Melissa Data Quality is ranked 7th in Data Quality with 1 review while Talend Data Quality is ranked 5th in Data Quality with 4 reviews. Melissa Data Quality is rated 9.0, while Talend Data Quality is rated 9.0. The top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". 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". Melissa Data Quality is most compared with Informatica Address Verification, Experian Data Quality, Ataccama DQ Analyzer, iWay Omni-Gen Data Quality and Alteryx, whereas Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer, Informatica Data Quality, RapidMiner and Infogix Data360 DQ+.

    See our list of best Data Quality vendors and best Data Scrubbing Software 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.