We performed a comparison between Melissa Data Quality and SQL Power 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."Through more accurate data, our marketing department has been able to increase delivery and conversion rates through email direct marketing initiatives."
"Ability to validate addresses, make corrections to address."
"We only use the one feature for the NAICS code. This allows our product users to know what industry a business is in."
"Initial setup was fairly straightforward. The documentation was very good in terms of how to integrate and consume the service(s) that we use. It did not take an abundance of time to set up things on our side to use the service."
"We ran a standard name, address, and zip code, internal dedupe between the different files we had purchased, and we were able to quickly notify our vendor that they had tens of thousands of duplications that they were not even aware of."
"Provides quality accurate data that our downstream solutions depend on."
"The customers' addresses are now complete, correct and follow one consistent format."
"Getting the most up to date address for our members. We like to keep in touch with membership a few times a year so we want to maintain up to date addresses to be sure they receive any information that we mail to them."
"It is a scalable solution. We have over 1,000 SQL Power Data Quality users in our organization."
"The Nomo, select form, and so on are the most valuable features."
"The solution is able to integrate with many systems and other products."
"Tech support at Melissa Data was very quick to wash their hands of an issue and say it's IT policies on my side that are causing the issue. There was no offer to try and find a work-around. Just an overwhelming attitude of "it’s not our problem.""
"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed"
"MatchUp seems to be single threaded, and limits the amount of data that can be processed automatically."
"Pricing 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."
"It will mix up family members at times, so we will change addresses at times that shouldn’t be changed."
"Address validation and parsing in a few countries have room for improvement."
"MatchUp is a more complex product and I recommend a test area before upgrading to production. Performance can change from version to version."
"There are some hitches in setup, especially with the new encoding, but otherwise it’s relatively simple."
"Downtime issues should be improved."
"The only area of improvement that we've come across within the solution was the portfolio roadmap creation. There's a bit of limitation there, but otherwise, the tool itself is very good."
"The normalization factor should be improved so that it is better scaled. It should be more user-friendly."
Earn 20 points
Melissa Data Quality is ranked 4th in Data Scrubbing Software with 40 reviews while SQL Power Data Quality is ranked 6th in Data Scrubbing Software with 4 reviews. Melissa Data Quality is rated 8.4, while SQL Power Data Quality is rated 8.8. The top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". On the other hand, the top reviewer of SQL Power Data Quality writes "Is easy to deploy and is stable and scalable". Melissa Data Quality is most compared with Informatica Address Verification, SAP Data Quality Management, Precisely Trillium and Experian Data Quality, whereas SQL Power Data Quality is most compared with Alteryx. See our Melissa Data Quality vs. SQL Power Data Quality report.
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