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Melissa Data Quality vs SQL Power Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Melissa Data Quality
Ranking in Data Scrubbing Software
5th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Quality (7th)
SQL Power Data Quality
Ranking in Data Scrubbing Software
9th
Average Rating
8.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Data Scrubbing Software category, the mindshare of Melissa Data Quality is 9.3%, up from 6.3% compared to the previous year. The mindshare of SQL Power Data Quality is 3.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software Mindshare Distribution
ProductMindshare (%)
Melissa Data Quality9.3%
SQL Power Data Quality3.0%
Other87.7%
Data Scrubbing Software
 

Featured Reviews

GM
Data Architect at World Vision
SSIS MatchUp Component is Amazing
- Scalability is a limitation as it is single threaded. You can bypass this limitation by partitioning your data (say by alphabetic ranges) into multiple dataflows but even within a single dataflow the tool starts to really bog down if you are doing survivorship on a lot of columns. It's just very old technology written that's starting to show its age since it's been fundamentally the same for many years. To stay relavent they will need to replace it with either ADF or SSIS-IR compliant version. - Licensing could be greatly simplified. As soon as a license expires (which is specific to each server) the product stops functioning without prior notice and requires a new license by contacting the vendor. And updating the license is overly complicated. - The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation but that isn't true since pretty much all SSIS components are resizable except theirs! This is just an annoyance but needless impact on productivity when developing new data flows. - The tool needs to provide for incremental matching using the MatchUp for SSIS tool (they provide this for other solutions such as standalone tool and MatchUp web service). We had to code our own incremental logic to work around this. - Tool needs ability to sort mapped columns in the GUI when using advanced survivorship (only allowed when not using column-level survivorship). - It should provide an option for a procedural language (such as C# or VB) for survivor-ship expressions rather than relying on SSIS expression language. - It should provide a more sophisticated ability to concatenate groups of data fields into common blocks of data for advanced survivor-ship prioritization (we do most of this in SQL prior to feeding the data to the tool). - It should provide the ability to only do survivor-ship with no matching (matching is currently required when running data through the tool). - Tool should provide a component similar to BDD to enable the ability to split into multiple thread matches based on data partitions for matching and survivor-ship rather than requiring custom coding a parallel capable solution. We broke down customer data by first letter of last name into ranges of last names so we could run parallel data flows. - Documentation needs to be provided that is specific to MatchUp for SSIS. Most of their wiki pages were written for the web service API MatchUp Object rather than the SSIS component. - They need to update their wiki site documentation as much of it is not kept current. Its also very very basic offering very little in terms of guidelines. For example, the tool is single-threaded so getting great performance requires running multiple parallel data flows or BDD in a data flow which you can figure out on your own but many SSIS practitioners aren't familiar with those techniques. - The tool can hang or crash on rare occasions for unknown reason. Restarting the package resolves the problem. I suspect they have something to do with running on VM (vendor doesn't recommend running on VM) but have no evidence to support it. When it crashes it creates dump file with just vague message saying the executable stopped running.
reviewer2091297 - PeerSpot reviewer
Fraud Strategist(Actimize/SAS) at a financial services firm with 10,001+ employees
Is easy to deploy and is stable and scalable
I like the load balancing feature The normalization factor should be improved so that it is better scaled. It should be more user-friendly. It should be easier to export reports. I've been using SQL Power Data Quality for 10 years. SQL Power Data Quality is stable. It is a scalable solution.…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Address parsing. Our other software does not have this functionality."
"We have been able to avoid costly duplication of data and effort, and verifying has increased the accuracy of our target marketing efforts."
"The customers' addresses are now complete, correct and follow one consistent format."
"Standardizing allows me to more effectively check for duplicate/existing records. Verifying increases the value of the data."
"​Allows us to identify cell phones before dialing, and giving us data about callers."
"This tool works better for us than using a batch processing system that we do not have enough control over as each record is being processed."
"​​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."
"SQL Power Data Quality is truly a proven product that makes the work of cleaning data in both source and target data easy yet efficient."
"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."
"The solution is very easy to use and it's quite flexible."
 

Cons

"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 better email append coverage (but every vendor struggles with this)."
"We are very pleased with the pricing but they need to have some good licence tracking mechanism."
"To continually update the database with NAICS codes on businesses."
"The SSIS component setup seems a little klunky."
"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."
"Needs to validate more addresses accurately."
"Downtime issues should be improved."
"The normalization factor should be improved so that it is better scaled. It should be more user-friendly."
"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."
"Integrating SQL Power with the system is challenging especially in places where no tutorials found and new versions continue to be released with varying requirements."
"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."
 

Pricing and Cost Advice

"​It is affordable."
"Buy a lot more credits than you think you’re going to need."
"The price for address validation is similar in all software. However, the price for geocoding decides the actual pricing. If you get their most accurate geocoding (called GeoPoints), then it will add about $10k+ per million requests."
"Understand how may transactions you will be processing so that you can get the right tier pricing."
"Depends on situation. We prefer to have data onsite, but some might prefer web access."
"Pricing is very reasonable, no licensing required."
"Melissa pricing is competitive."
"I think it's worth the value for me to run it."
Information not available
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Top Industries

By visitors reading reviews
Insurance Company
12%
Construction Company
10%
Manufacturing Company
6%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise3
Large Enterprise14
No data available
 

Overview

 

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.
TimeWarner, Champion Technologies Tiscali, Oneil, Broadspire,youbet.com, Pepsi Co, Citco, John Lewes
Find out what your peers are saying about Melissa Data Quality vs. SQL Power Data Quality and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.