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Melissa Data Quality vs Posidex Technologies Data Quality 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
Ranking in Data Scrubbing Software
4th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Quality (13th)
Posidex Technologies Data Q...
Ranking in Data Scrubbing Software
9th
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Data Scrubbing Software category, the mindshare of Melissa Data Quality is 9.3%, up from 6.9% compared to the previous year. The mindshare of Posidex Technologies Data Quality is 2.8%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software Mindshare Distribution
ProductMindshare (%)
Melissa Data Quality9.3%
Posidex Technologies Data Quality2.8%
Other87.9%
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.
reviewer797259 - PeerSpot reviewer
Consultant at a university with 501-1,000 employees
The data cleansing and standardization it offers has helped us in our credit decisions for underwriters
The primary use cases of the solution are: Ensuring data quality Data cleansing of the input data Deduplication of the customer and his/her demographic information from multiple data sources against the existing customer base. Scanning the customer records against the negative customer list…

Quotes from Members

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

Pros

"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."
"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."
"Contact Verify is very simple to use and performs very fast."
"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."
"Standardizing allows me to more effectively check for duplicate/existing records. Verifying increases the value of the data."
"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."
"This serves our single need and we may utilize Melissa Data for other lookups, such as validate address lookup, in the future."
"It cuts down significantly on time in trying to match names to addresses. I can do in a few hours what would otherwise take days to accomplish."
"The data cleansing and standardization it offers, and near real-time response, has helped us in our credit decisions for underwriters, thereby getting the right customer onboarded."
 

Cons

"Overall there is a room for improvement in Customer Address Appends and Email Appends."
"We encounter failed batch processes once in a while, but their team is quick to rectify issues."
"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."
"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."
"Many issues, sometimes I have to completely log out and start over."
"Needs better email append coverage (but every vendor struggles with this)."
"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.""
"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."
"Having the solution in big data technologies is something Posidex is working on."
 

Pricing and Cost Advice

"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."
"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."
"Melissa pricing is competitive."
"It's affordable."
"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."
"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."
"This vendor has no equal in pricing for equivalent functionality."
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.
ICICI Bank, HDFC Bank, Reliance Capital, Tata Motor Finance Ltd, ICICI Prudential Life Insurance Company, Bharti Airtel Limited, Idea Cellular, Credit Information Bureau
Find out what your peers are saying about Qlik, Experian, Ataccama and others in Data Scrubbing Software. Updated: October 2026.
920,769 professionals have used our research since 2012.