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Melissa Data Quality vs Oracle Enterprise Data Quality (EDQ) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
10th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Scrubbing Software (4th)
Oracle Enterprise Data Qual...
Ranking in Data Quality
13th
Average Rating
8.4
Reviews Sentiment
7.9
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Quality category, the mindshare of Melissa Data Quality is 4.1%, up from 2.9% compared to the previous year. The mindshare of Oracle Enterprise Data Quality (EDQ) is 3.6%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Melissa Data Quality4.1%
Oracle Enterprise Data Quality (EDQ)3.6%
Other92.3%
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.
Venkatraman Bhat - PeerSpot reviewer
Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited
Fast, has good extraction, validation, and transformation features, and provides good support
Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.

Quotes from Members

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

Pros

"Since we switched to Melissa Data web services, we do not need to maintain those servers and/or software, and we get the most up-to-date addresses from USPS."
"Through more accurate data, our marketing department has been able to increase delivery and conversion rates through email direct marketing initiatives."
"Be confident that the scalability and load are not going to be an issue with the services. ​"
"Melissa Data is often best for the price, quality, thoroughness, and speed."
"This serves our single need and we may utilize Melissa Data for other lookups, such as validate address lookup, in the future."
"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."
"We are able to send out client mailings with the most accurate addresses possible."
"​It has a straightforward, easy setup."
"The quality of data has vastly improved and our business intelligence reports are accurate in real time."
"With Oracle Data Quality, the most valuable feature is entity matching."
"Oracle Data Quality gives you value for money and better ROI, especially when it's deployed on the cloud, because it's fast, ready to use, and you can just subscribe and provision it, then start using it without great effort for setup, installation, or configuration."
"Compared to the competition, Oracle Data Quality is a very flexible and advanced product."
"I'd recommend this solution to anyone who is using data quality or would want to know the quality of data in their company and fix the data."
"I have found the most valuable features to be data cleansing and deduplication."
"OEDQ helped us to define Data Quality issues from a business perspective by business users and ability to manage those issues within our ETL tool (Oracle Data Integrator - ODI)."
"Oracle EDQ is indeed a state-of-the-art tool that will help you understand, improve, protect, and govern the quality of your enterprise data in a single integrated and collaborative environment."
 

Cons

"We encounter failed batch processes once in a while, but their team is quick to rectify issues."
"Many issues, sometimes I have to completely log out and start over."
"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."
"The custom software solution we still use in-house makes Excel a lot slower than usual."
"Pricing is based on tiers, with each tier capped at a specified number of records processed. Once you go over the cap at one tier, you are automatically bumped to the next tier. However, they seem to count failed batch processes so it’s good to keep track of the number of records sent. They’ll fix the count when notified, but their system fails to detect actual successful processes versus failed processes."
"Needs better email append coverage (but every vendor struggles with this)."
"It changes names to what it thinks it should be when the spelling is different. It should not do this."
"Address validation and parsing in a few countries have room for improvement."
"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."
"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."
"There are some challenges with respect to standardization, matching, segregation, and merging."
"We have experienced some system crashes i.e. when tying to run Data Profiling Processes for very large data sets."
"Integration performance and availability of out of the box integration to more products (ERP Tools, Data Cleansing Software etc.)."
"The initial setup was complicated, there is a lot of configuration that needs to be done."
"Mobile support and mobile app can be implemented, since business users generally prefers to work with their laptops and mobile phones."
"Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."
 

Pricing and Cost Advice

"I think it's worth the value for me to run it."
"Generally, the cost is ROI positive, depending on your shipping volume."
"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."
"Depends on situation. We prefer to have data onsite, but some might prefer web access."
"​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."
"Buy a lot more credits than you think you’re going to need."
"The price of this solution is comparable to other similar solutions."
"The vendor needs to revisit their pricing strategy."
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Top Industries

By visitors reading reviews
Construction Company
18%
Healthcare Company
7%
Comms Service Provider
6%
Insurance Company
6%
Construction Company
15%
Manufacturing Company
12%
Comms Service Provider
10%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise3
Large Enterprise14
By reviewers
Company SizeCount
Midsize Enterprise2
Large Enterprise7
 

Also Known As

No data available
Datanomic
 

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.
Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
Find out what your peers are saying about Melissa Data Quality vs. Oracle Enterprise Data Quality (EDQ) and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.