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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 (6th), Data Scrubbing Software (4th)
WinPure Data Quality Platform
Average Rating
0.0
Reviews Sentiment
8.3
Number of Reviews
1
Ranking in other categories
Data Integration (107th), Master Data Management (MDM) Software (23rd)
 

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 3.4%, up 2.5% compared to last year.
WinPure Data Quality Platform, on the other hand, focuses on Master Data Management (MDM) Software, holds 1.4% mindshare, up 0.2% since last year.
Data Quality Market Share Distribution
ProductMarket Share (%)
Melissa Data Quality3.4%
Informatica Intelligent Data Management Cloud (IDMC)10.6%
Qlik Talend Cloud6.6%
Other79.4%
Data Quality
Master Data Management (MDM) Software Market Share Distribution
ProductMarket Share (%)
WinPure Data Quality Platform1.4%
SAP Master Data Governance11.1%
TIBCO EBX9.1%
Other78.4%
Master Data Management (MDM) 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.
reviewer1126923 - PeerSpot reviewer
Systems Architect at a tech services company with 1,001-5,000 employees
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

"We only use the one feature for the NAICS code. This allows our product users to know what industry a business is in."
"​Allows us to identify cell phones before dialing, and giving us data about callers."
"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."
"Be confident that the scalability and load are not going to be an issue with the services. ​"
"Ability to validate addresses, make corrections to address."
"By using Melissa Data, we are able to scrub and verify, then better validate the end customer's address to ensure a more consistent delivery of products."
"Provides quality accurate data that our downstream solutions depend on."
"Enables us to send out bulk mailings when we need to verify NCOA."
"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

"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."
"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."
"It will mix up family members at times, so we will change addresses at times that shouldn’t be changed."
"Pricing model."
"Needs better email append coverage (but every vendor struggles with this)."
"It would be nice if it also had a user interface, as it did in years past."
"Needs to validate more addresses accurately."
"One of the problems that we ran into this year was we probably spent over 40 hours finding and trying to drill down to where specific bugs were in the program, which was a tremendous waste of time for us. There were a couple of updates to Windows this year, the program kept crashing. It happened on two different occasions over a period of a few months. Once we told them what the problem was - even though their tech support is great to work with - it literally took probably about two months to fix the issue where we could actually use the program the way we needed to use it."
"The pricing model could use improvement."
 

Pricing and Cost Advice

"​It is affordable."
"Generally, the cost is ROI positive, depending on your shipping volume."
"The only complaint that I have towards it is they sell licenses based on a range of usage, and I feel those ranges are too large."
"Be sure to determine how the data is priced (record-based versus credit-based or some hybrid of data and services)."
"Melissa pricing is competitive."
"Cloud version is very cheap. On-premise version is expensive."
"Pricing is very reasonable, no licensing required."
"​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.​"
Information not available
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Top Industries

By visitors reading reviews
Insurance Company
14%
Manufacturing Company
12%
Computer Software Company
7%
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.
Birmingham Hippodrome, Luton Borough Council, Apex Innovations, Sandia National Laboratories, Clear Blue, Vodafone
Find out what your peers are saying about Informatica, SAP, Qlik and others in Data Quality. Updated: December 2025.
879,371 professionals have used our research since 2012.