Compare Melissa Data Quality vs. Talend Data Quality

Melissa Data Quality is ranked 1st in Data Scrubbing Software with 32 reviews while Talend Data Quality is ranked 2nd in Data Scrubbing Software with 9 reviews. Melissa Data Quality is rated 8.4, while Talend Data Quality is rated 8.2. 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 "Visual jobs are easier to understand than a piece of Java code and improve collaboration between colleagues". Melissa Data Quality is most compared with Informatica Address Verification, Experian Data Quality and Talend Data Quality, whereas Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer and Melissa Data Quality. See our Melissa Data Quality vs. Talend Data Quality report.
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Most Helpful Review
Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: November 2019.
378,124 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. 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.We mainly communicate with our customers via email, so we primarily use it to find a phone number so we can contact them more efficiently. This allows us to talk to them and resolve their issues much more quickly.​Ability to keep our data set clean and usable for our community searches.​​​Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant.​​It saves a huge amount of time. Before using this service, we used a vendor that manually ran our lists through this NCOA list, which might have taken one to three business days to return the file. This was a huge bottleneck in our process, and the data returned was not always accurate. After switching to Melissa Data’s SmartMover, the process has been reduced to between ten minutes and three hours, depending on the amount of records sent.​It has a straightforward, easy setup.Gives us the ability to offer an additional resource that other companies do not.We are able to send out client mailings with the most accurate addresses possible.

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With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects.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.The Studio is easy to understand.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’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.The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code.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.

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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.We would appreciate it if there was a larger database so that we could find information more often. For example, we can search for 10 people and only find the information for three of them, if we are lucky.The custom software solution we still use in-house makes Excel a lot slower than usual.We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate.​The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processedPricing is based on tiers, with each tier capped at a specified number of records processed. Once you go over the cap at one tier, you are automatically bumped to the next tier. However, they seem to count failed batch processes so it’s good to keep track of the number of records sent. They’ll fix the count when notified, but their system fails to detect actual successful processes versus failed processes.We encounter failed batch processes once in a while, but their team is quick to rectify issues.Needs to provide more phone numbers, even cell numbers (scrubbed numbers).

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You can't join more than two tables for analysis.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.Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data.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.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.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.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
This vendor has no equal in pricing for equivalent functionality.Buy a lot more credits than you think you’re going to need.​You should have a good idea of the size of your data and the amount of cleansing you will be doing, so you will purchase the appropriate size bundle.​​It is affordable.Pricing is very reasonable, no licensing required.​We are concerned that our own pricing is going up every year for Melissa Data products, but we highly recommend the services for people who are routinely sending out mailings.Cloud version is very cheap. On-premise version is expensive.Trial subscriptions (via cloud) are very cheap and easy to use. It’s a great way to test Listware to see if you want to go deeper with integration.

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We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced.I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license.

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Ranking
1st
Views
2,972
Comparisons
862
Reviews
32
Average Words per Review
387
Avg. Rating
8.3
2nd
Views
2,086
Comparisons
1,190
Reviews
9
Average Words per Review
292
Avg. Rating
8.1
Top Comparisons
Compared 44% of the time.
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Melissa
Talend
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%
Government11%
Financial Services Firm11%
VISITORS READING REVIEWS
Software R&D Company33%
Non Profit22%
Government12%
Comms Service Provider6%
No Data Available
Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: November 2019.
378,124 professionals have used our research since 2012.
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.
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