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Melissa Data Quality vs Syniti Data Quality comparison

 

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
8th
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
4th
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 May 2025, in the Data Quality category, the mindshare of Melissa Data Quality is 3.0%, up from 2.9% compared to the previous year. The mindshare of Syniti Data Quality is 11.1%, up from 7.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

GM
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
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

"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."
"Helps our organization provide accurate address information to our customers for direct mailing (household) and other campaigns they want to do."
"​We are able to more accurately identify valid, and better formatted, data which improves the data we store in our database.​"
"​Ability to keep our data set clean and usable for our community searches.​"
"This tool works better for us than using a batch processing system that we do not have enough control over as each record is being processed."
"I was able to dedupe millions of records in the past, and append the most recent email."
"The customers' addresses are now complete, correct and follow one consistent format."
"We like having the ability to write our own utilities/software to process our records and store the final output the way we want."
"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."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"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."
"The customer service and support is good."
 

Cons

"Did not work as advertized. Needs better results in address parsing, as described on the website."
"MatchUp seems to be single threaded, and limits the amount of data that can be processed automatically."
"It really hasn't given us a phone number for the owner of the property, and that's one thing I'd really like to be getting. Either a phone number or email."
"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.""
"More countries should be supported by Melissa."
"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."
"I wish there was a way to do a "test run" and see what a particular format will give you."
"Needs more/better search tools are needed. Also, state and local tax data would be nice."
"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."
"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."
 

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."
"Pricing is very reasonable, no licensing required."
"I think it's worth the value for me to run it."
"This vendor has no equal in pricing for equivalent functionality."
"Pricing is very reasonable."
"​It is affordable."
"Be sure to determine how the data is priced (record-based versus credit-based or some hybrid of data and services)."
"​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 solution is expensive."
"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
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Top Industries

By visitors reading reviews
Insurance Company
15%
Manufacturing Company
12%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
19%
Computer Software Company
14%
Financial Services Firm
11%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
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What do you like most about Syniti Data Quality?
The customer service and support is good.
What needs improvement with Syniti Data Quality?
The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement.
What is your primary use case for Syniti Data Quality?
Syniti Data Quality's use case is similar to what we do in SAP Information Steward. You can create a data quality report and your business Steward, which is more into cleansing the data. They will ...
 

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: April 2025.
850,028 professionals have used our research since 2012.