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

Ixsight Data Quality vs Melissa 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

Ixsight Data Quality
Ranking in Data Scrubbing Software
10th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
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)
 

Mindshare comparison

As of March 2026, in the Data Scrubbing Software category, the mindshare of Ixsight Data Quality is 2.3%, up from 1.5% compared to the previous year. The mindshare of Melissa Data Quality is 9.3%, up from 6.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software Mindshare Distribution
ProductMindshare (%)
Melissa Data Quality9.3%
Ixsight Data Quality2.3%
Other88.4%
Data Scrubbing Software
 

Featured Reviews

it_user826683 - PeerSpot reviewer
EVP & Head SDG
Dedupe helps us identify customer relationships as well as non-performing assets
We are using it primarily as a dedupe application. Our bank has multiple customer onboarding applications (different ones for trade products, non-trade, micro finance products, consumer finance products) and we use Ixsight to dedupe the customer across applications so that we know the customer's…
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.

Quotes from Members

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

Pros

"We are using it primarily as a dedupe application... We use Ixsight to dedupe the customer across applications so that we know the customer's relationship across the bank."
"I was able to dedupe millions of records in the past, and append the most recent email."
"We ran a standard name, address, and zip code, internal dedupe between the different files we had purchased, and we were able to quickly notify our vendor that they had tens of thousands of duplications that they were not even aware of."
"Be confident that the scalability and load are not going to be an issue with the services. ​"
"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."
"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."
"​Ability to keep our data set clean and usable for our community searches.​"
"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."
"Ability to validate addresses, make corrections to address."
 

Cons

"I would like them to evolve the product's online strategy, as more and more the need is for a "prefacto" dedupe (before creating the customer)."
"More countries should be supported by Melissa."
"Needs to validate more addresses accurately."
"Pricing model."
"Needs to provide more phone numbers, even cell numbers (scrubbed numbers)."
"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."
"We are no longer using Melissa Data to clean up our address information as there are free tools that we can use to do the same thing."
"The SSIS component setup seems a little klunky."
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate.​"
 

Pricing and Cost Advice

Information not available
"NCOA address verification was a requirement from USPS to send out the mailers. This was the only option that charged per address which was extremely helpful since we are a small non-profit school."
"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."
"​It is 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."
"Generally, the cost is ROI positive, depending on your shipping volume."
"Buy a lot more credits than you think you’re going to need."
"​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.​"
"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."
report
Use our free recommendation engine to learn which Data Scrubbing Software solutions are best for your needs.
884,797 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Insurance Company
13%
Computer Software Company
8%
Manufacturing Company
7%
Educational Organization
6%
 

Company Size

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

Overview

 

Sample Customers

Axis Bank, Barclays, IndusInd Bank, Oriental Bank of Commerce, Tata Sky, Save the Children, Merkle Inc., Naaptol, Volkswagen, Voltas, Schneider Electric, Future Generali, HDFC Life, Bajaj Finserv, Indiabulls, Ranbaxy Laboratories
Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
Find out what your peers are saying about Qlik, Experian, Prometheus Group and others in Data Scrubbing Software. Updated: March 2026.
884,797 professionals have used our research since 2012.