We performed a comparison between Melissa Data Quality and Talend Data Quality based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."We are able to more accurately identify valid, and better formatted, data which improves the data we store in our database."
"We like having the ability to write our own utilities/software to process our records and store the final output the way we want."
"Through more accurate data, our marketing department has been able to increase delivery and conversion rates through email direct marketing initiatives."
"We only use the one feature for the NAICS code. This allows our product users to know what industry a business is in."
"Gives us the ability to offer an additional resource that other companies do not."
"Services for all manner of data-driven organizations, no matter their size or budget."
"Extremely easy to install and setup."
"It cuts down significantly on time in trying to match names to addresses. I can do in a few hours what would otherwise take days to accomplish."
"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 solution is customizable."
"The Studio is easy to understand."
"Provides a flexible development environment to the coder."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"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."
"It lowers the amount of time in development from weeks to a day."
"We are no longer using Melissa Data to clean up our address information as there are free tools that we can use to do the same thing."
"Many issues, sometimes I have to completely log out and start over."
"It would be nice if it also had a user interface, as it did in years past."
"There are some hitches in setup, especially with the new encoding, but otherwise it’s relatively simple."
"An area for improvement is where an end customer's address is not found in the Melissa Data database, even though it is a valid address."
"Pricing model."
"More countries should be supported by Melissa."
"We encounter failed batch processes once in a while, but their team is quick to rectify issues."
"The ability to change the code when debugging the JavaScript could be improved."
"SQL for displaying underlying data in non-match results does not work."
"There are too many functions which could be streamlined."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"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."
"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."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
Earn 20 points
Melissa Data Quality is ranked 9th in Data Quality with 40 reviews while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. Melissa Data Quality is rated 8.4, while Talend Data Quality is rated 8.0. 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, SAP Data Quality Management, Precisely Trillium and Experian Data Quality, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Informatica Data Quality, Alteryx, Precisely Trillium and Informatica Address Verification.
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.
