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Melissa Data Quality vs WinPure Data Quality Platform comparison

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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 (13th), 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 (20th)
 

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 3.9%, up 2.7% compared to last year.
WinPure Data Quality Platform, on the other hand, focuses on Master Data Management (MDM) Software, holds 1.6% mindshare, up 0.6% since last year.
Data Quality Mindshare Distribution
ProductMindshare (%)
Melissa Data Quality3.9%
Informatica Intelligent Data Management Cloud (IDMC)10.3%
Qlik Talend Cloud6.8%
Other79.0%
Data Quality
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
WinPure Data Quality Platform1.6%
Microsoft MDS9.9%
ON EBX9.6%
Other78.9%
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 have only been using this for about two months, but it has sped up our processing significantly, making data mining easy and fast so we no longer have to spend an entire month gathering correct information on leads, as 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."
"This serves our single need and we may utilize Melissa Data for other lookups, such as validate address lookup, in the future."
"The customers' addresses are now complete, correct and follow one consistent format."
"When we plugin the contact verify component in the ETL from Source Systems, it will greatly help in standardizing and cleansing the source data and help keep the downstream systems clean."
"​Allows us to identify cell phones before dialing, and giving us data about callers."
"Provides quality accurate data that our downstream solutions depend on."
"Melissa Data is often best for the price, quality, thoroughness, and speed."
"​Ability to keep our data set clean and usable for our community searches.​"
"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

"The use case I'm familiar with is for a merchant who was contrasting this technology with data from Dun and Bradstreet: so my recommendation is that Melissa Data purchase Dun and Bradstreet to combine their data breadth."
"Overall there is a room for improvement in Customer Address Appends and Email Appends."
"Needs more/better search tools are needed. Also, state and local tax data would be nice."
"Speed of delivery/ease of use. They advertise a 24-hour, next business day turn time on data annotation, but I’ve found it is usually closer to 72 hours. This is still excellent, just make sure you add in the appropriate fluff to your delivery timelines."
"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."
"MatchUp is a more complex product and I recommend a test area before upgrading to production. Performance can change from version to version."
"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."
"Update feature"
"The pricing model could use improvement."
 

Pricing and Cost Advice

"This vendor has no equal in pricing for equivalent functionality."
"Cloud version is very cheap. On-premise version is expensive."
"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."
"They were willing to work with our preferred vendors, though it involved extra steps to get the license."
"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."
"It's affordable."
"Generally, the cost is ROI positive, depending on your shipping volume."
"​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
Construction Company
16%
Outsourcing Company
14%
Comms Service Provider
10%
Insurance Company
5%
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, Qlik, Ataccama and others in Data Quality. Updated: October 2026.
920,769 professionals have used our research since 2012.