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Melissa Data Quality vs Syniti Data Quality comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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 Quality
11th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Scrubbing Software (4th)
Syniti Data Quality
Ranking in Data Quality
21st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Quality category, the mindshare of Melissa Data Quality is 4.0%, up from 2.8% compared to the previous year. The mindshare of Syniti Data Quality is 2.6%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Melissa Data Quality4.0%
Syniti Data Quality2.6%
Other93.4%
Data Quality
 

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.
RA
Delivery Head at ApikinFotech
Offers predefined rules and easy to migrate data with minimum customisation of rules
The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage. We should be able to tune the existing process by using simple SQL queries based on the customer's requirements. In future releases, I would like to see more features around Preload and postload reports. From the end-user point of view, it is not very feasible to read. I need to know how the data has been migrated. I need to know whether the complete data has been migrated, only the required data has been migrated, and how it was migrated. So the postload reports will give validation between the source data and the target source. It would give exact picture of the data migration.

Quotes from Members

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

Pros

"Provides simplicity, ease of use, combined with overall accuracy of data."
"This serves our single need and we may utilize Melissa Data for other lookups, such as validate address lookup, in the future."
"SSIS integration."
"I was able to dedupe millions of records in the past, and append the most recent email."
"Our customer database is now significantly more accurate and reliable."
"Services for all manner of data-driven organizations, no matter their size or budget."
"Address verification ensures our customers get their packages, and we aren’t charged for incomplete address information."
"We have been able to avoid costly duplication of data and effort, and verifying has increased the accuracy of our target marketing efforts."
"The customer service and support is good."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."
"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."
 

Cons

"It will mix up family members at times, so we will change addresses at times that shouldn’t be changed."
"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."
"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."
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate.​"
"It would be great if the product can be expanded to standardize and clean Telephone Numbers and TaxID’s/SSN’s."
"It changes names to what it thinks it should be when the spelling is different. It should not do this."
"Overall there is a room for improvement in Customer Address Appends and Email Appends."
"It would be helpful if a list of the codes and explanations could be included."
"The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
"It would be good if Syniti Data Quality could integrate more AI in the future."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
 

Pricing and Cost Advice

"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."
"Melissa pricing is competitive."
"I think it's worth the value for me to run it."
"Pricing is very reasonable."
"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."
"Pricing is very reasonable, no licensing required."
"Generally, the cost is ROI positive, depending on your shipping volume."
"Understand how may transactions you will be processing so that you can get the right tier pricing."
"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Construction Company
17%
Outsourcing Company
15%
Comms Service Provider
10%
Insurance Company
6%
Manufacturing Company
14%
Retailer
7%
Consumer Goods Company
7%
Comms Service Provider
6%
 

Company Size

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

Also Known As

No data available
Syniti DQ
 

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.
Kraft Foods, Puget Sound Energy
Find out what your peers are saying about Melissa Data Quality vs. Syniti Data Quality and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.