Try our new research platform with insights from 80,000+ expert users

Melissa Data Quality vs WinPure Data Quality Platform 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
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Quality (8th), Data Scrubbing Software (3rd)
WinPure Data Quality Platform
Average Rating
0.0
Reviews Sentiment
8.3
Number of Reviews
1
Ranking in other categories
Data Integration (109th), Master Data Management (MDM) Software (24th)
 

Mindshare comparison

Melissa Data Quality and WinPure Data Quality Platform aren’t in the same category and serve different purposes. Melissa Data Quality is designed for Data Quality and holds a mindshare of 2.7%, up 2.3% compared to last year.
WinPure Data Quality Platform, on the other hand, focuses on Master Data Management (MDM) Software, holds 0.6% mindshare.
Data Quality Market Share Distribution
ProductMarket Share (%)
Melissa Data Quality2.7%
Informatica Intelligent Data Management Cloud (IDMC)10.5%
SAP Data Services6.2%
Other80.6%
Data Quality
Master Data Management (MDM) Software Market Share Distribution
ProductMarket Share (%)
WinPure Data Quality Platform0.6%
SAP Master Data Governance18.2%
Microsoft MDS11.9%
Other69.3%
Master Data Management (MDM) Software
 

Featured Reviews

GM
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.
reviewer1126923 - PeerSpot reviewer
A solution that offers good performance, good stability, and a straightforward setup
We are a reseller of the solution. We handle on-premises deployment. The solution is very similar to IBM. It may have a bit more integration capabilities that IBM doesn't have yet, but they are similar. In terms of which would be better, it would come down to the customer's requirements. I'd rate the solution nine out of ten. All of our customers are very happy and very impressed with the product.

Quotes from Members

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

Pros

"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."
"Address parsing. Our other software does not have this functionality."
"SSIS integration."
"The customers' addresses are now complete, correct and follow one consistent format."
"​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 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."
"​​Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant.​​"
"Provides simplicity, ease of use, combined with overall accuracy of data."
"With regards to choosing flash versus traditional storage, it's just so much simpler to manage and users get so much better performance from flash."
 

Cons

"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."
"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed"
"We would appreciate it if there was a larger database so that we could find information more often. For example, we can search for 10 people and only find the information for three of them, if we are lucky."
"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.""
"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."
"Did not work as advertized. Needs better results in address parsing, as described on the website."
"Needs to validate more addresses accurately."
"​If I had multiple Excel files open and ran Listware it would crash Excel, charge the credits, and not save the results."
"The pricing model could use improvement."
 

Pricing and Cost Advice

"It's affordable."
"Trial subscriptions (via cloud) are very cheap and easy to use. It’s a great way to test Listware to see if you want to go deeper with integration."
"Cloud version is very cheap. On-premise version is expensive."
"​It is affordable."
"Generally, the cost is ROI positive, depending on your shipping volume."
"​We are concerned that our own pricing is going up every year for Melissa Data products, but we highly recommend the services for people who are routinely sending out mailings."
"​You should have a good idea of the size of your data and the amount of cleansing you will be doing, so you will purchase the appropriate size bundle.​"
"Fully understand your volume, both monthly and annually. Speak with a Melissa account manager, they will put together an effective solution to meet your needs."
Information not available
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
872,869 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Insurance Company
13%
Manufacturing Company
13%
Computer Software Company
8%
Healthcare Company
8%
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.
Birmingham Hippodrome, Luton Borough Council, Apex Innovations, Sandia National Laboratories, Clear Blue, Vodafone
Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality. Updated: October 2025.
872,869 professionals have used our research since 2012.