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Informatica Intelligent Data Management Cloud (IDMC) vs Melissa 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

Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
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 (3rd)
 

Mindshare comparison

As of July 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 17.9%, down from 24.8% compared to the previous year. The mindshare of Melissa Data Quality is 3.3%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.
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.

Quotes from Members

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

Pros

"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."
"I like the number of options that are presented with Informatica, fuzzy matching, and your screen."
"It has become an easy way to exchange information through any cloud application."
"It is a very stable solution...It is a scalable solution."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"Able to customize data search and data sharing."
"The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely."
"The solution's initial setup is quite straightforward."
"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."
"We use their GeoPoints to get the most precise, rooftop level geocoding."
"Enables us to send out bulk mailings when we need to verify NCOA."
"I was able to dedupe millions of records in the past, and append the most recent email."
"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."
"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."
"​It has a straightforward, easy setup."
"Standardizing allows me to more effectively check for duplicate/existing records. Verifying increases the value of the data."
 

Cons

"The biggest challenge I see is the IDE's for the cloud and automization are different."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"I would like to have the solution in one product and technical support needs to be better."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"They could improve technical support because it is not good enough at the moment."
"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."
"The advertising makes promises about data analytics that it does not keep."
"It is complicated to establish the lineage in EDC using PowerCenter mappings."
"It could always be cheaper."
"I wish there was a way to do a "test run" and see what a particular format will give you."
"We would appreciate it if there was a larger database so that we could find information more often. For example, we can search for 10 people and only find the information for three of them, if we are lucky."
"The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation however all SSIS components are resizable so that isn't true. This is just an annoyance but needless."
"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."
"There are some hitches in setup, especially with the new encoding, but otherwise it’s relatively simple."
"Many issues, sometimes I have to completely log out and start over."
"An area for improvement is where an end customer's address is not found in the Melissa Data database, even though it is a valid address."
 

Pricing and Cost Advice

"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"The product is very expensive"
"The platform has a premium cost. I rate the pricing as seven out of ten."
"It's an expensive solution."
"The product is highly-priced."
"The pricing is high compared to other tools on the market."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"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."
"Pricing is very reasonable, no licensing required."
"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."
"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."
"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."
"Cloud version is very cheap. On-premise version is expensive."
"Buy a lot more credits than you think you’re going to need."
"Depends on situation. We prefer to have data onsite, but some might prefer web access."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
Insurance Company
14%
Manufacturing Company
12%
Financial Services Firm
11%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
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When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
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Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
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 Informatica Intelligent Data Management Cloud (IDMC) vs. Melissa Data Quality and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.