We performed a comparison between Melissa Data Quality 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."I was able to dedupe millions of records in the past, and append the most recent email."
"Ability to validate addresses, make corrections to address."
"Address verification ensures our customers get their packages, and we aren’t charged for incomplete address information."
"Decreases chances of incorrect shipping addresses and, thus, returned packages."
"We like having the ability to write our own utilities/software to process our records and store the final output the way we want."
"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."
"Be confident that the scalability and load are not going to be an issue with the services. "
"Gives us the ability to offer an additional resource that other companies do not."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"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."
"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."
"It has definitely streamlined certain processes."
"We are able to get emails from URLs very easily using this function when others fail."
"The Studio is easy to understand."
"The file fetch process is impeccable."
"MatchUp is a more complex product and I recommend a test area before upgrading to production. Performance can change from version to version."
"Speed of delivery/ease of use. They advertise a 24-hour, next business day turn time on data annotation, but I’ve found it is usually closer to 72 hours. This is still excellent, just make sure you add in the appropriate fluff to your delivery timelines."
"There are some companies out there using Google or other sources to check / confirm if addresses are residential. If Melissa is not doing this, that could be an improvement."
"Needs more/better search tools are needed. Also, state and local tax data would be nice."
"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 custom software solution we still use in-house makes Excel a lot slower than usual."
"Needs to validate more addresses accurately."
"It would be nice if it also had a user interface, as it did in years past."
"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."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"The ability to change the code when debugging the JavaScript could be improved."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"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."
"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."
"I would say that some of the support elements need improvement."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
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 Ataccama ONE Platform. See our Melissa Data Quality vs. Talend Data Quality report.
See our list of best Data Quality vendors and best Data Scrubbing Software vendors.
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