We performed a comparison between Melissa Data Quality and SQL Power Data Quality based on real PeerSpot user reviews.
Find out what your peers are saying about Talend, Experian, Ataccama and others in Data Scrubbing Software."We have only been using this for about two months, but it has sped up our processing significantly. It makes data mining easy and fast. We don't have to spend an entire month gathering correct information on leads. All we need is a list of home addresses, and in minutes we have names and phone numbers to increase our chance of these leads becoming customers."
"Provides simplicity, ease of use, combined with overall accuracy of data."
"Provides quality accurate data that our downstream solutions depend on."
"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."
"We use a Melissa API to access the data, so it easy to use, accurate, and fast."
"Ability to keep our data set clean and usable for our community searches."
"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."
"It gives me an assessed value of the property in question. My partner and I are property investors, and it's good to get an assessed value to cull out properties that we're not interested in."
"The solution is able to integrate with many systems and other products."
"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."
"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."
"One thing I would want to have, when you're doing a property search, you can do it either on the FIPS in the APN number or the address itself. For some entries, I'll have the APN number, and some I'll have the address. Apparently it cannot process something when both the FIPS-APN and the address are on there. I have to sort, once with one and once with the other, which is a little bit of a pain."
"If I had multiple Excel files open and ran Listware it would crash Excel, charge the credits, and not save the results."
"To continually update the database with NAICS codes on businesses."
"It would be helpful if a list of the codes and explanations could be included."
"MatchUp seems to be single threaded, and limits the amount of data that can be processed automatically."
"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."
"It would be nice if it also had a user interface, as it did in years past."
"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."
"Downtime issues should be improved."
"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.
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