We performed a comparison between Informatica Data Quality and Melissa Data Quality based on real PeerSpot user reviews.
Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I am impressed by the solution's interface."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"Seeing the data in the mapping itself is really nice."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"The solution is stable."
"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"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."
"Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant."
"Extremely easy to install and setup."
"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."
"Services for all manner of data-driven organizations, no matter their size or budget."
"Allows us to identify cell phones before dialing, and giving us data about callers."
"Gives us the ability to offer an additional resource that other companies do not."
"We use a Melissa API to access the data, so it easy to use, accurate, and fast."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"There is room for improvement in the Data Marketplace aspect."
"The tool's performance is an area that should be given further consideration."
"Managing the licenses with the on-premises version was difficult."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"Address validation and parsing in a few countries have room for improvement."
"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."
"It will mix up family members at times, so we will change addresses at times that shouldn’t be changed."
"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."
"Did not work as advertized. Needs better results in address parsing, as described on the website."
"The SSIS component setup seems a little klunky."
"I wish there was a way to do a "test run" and see what a particular format will give you."
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate."
Earn 20 points
Informatica Data Quality is ranked 1st in Data Quality with 18 reviews while Melissa Data Quality is ranked 9th in Data Quality with 40 reviews. Informatica Data Quality is rated 7.8, while Melissa Data Quality is rated 8.4. The top reviewer of Informatica Data Quality writes "Offers cloud version, good connectivity and data profiling features ". On the other hand, the top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium TS Quality, Oracle Data Quality and IBM Infosphere Information Analyzer, whereas Melissa Data Quality is most compared with Informatica Address Verification, SAP Data Quality Management, Precisely Trillium and Experian Data Quality. See our Informatica Data Quality vs. Melissa Data Quality report.
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