We performed a comparison between Melissa Data Quality and SAP Data Quality Management based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."Standardizing allows me to more effectively check for duplicate/existing records. Verifying increases the value of the data."
"Extremely easy to install and setup."
"Gives us the ability to offer an additional resource that other companies do not."
"Provides simplicity, ease of use, combined with overall accuracy of data."
"We use a Melissa API to access the data, so it easy to use, accurate, and fast."
"We only use the one feature for the NAICS code. This allows our product users to know what industry a business is in."
"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."
"Provides quality accurate data that our downstream solutions depend on."
"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."
"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."
"The SSIS component setup seems a little klunky."
"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."
"It could always be cheaper."
"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.""
"Pricing model."
"Speed of delivery/ease of use. They advertise a 24-hour, next business day turn time on data annotation, but I’ve found it is usually closer to 72 hours. This is still excellent, just make sure you add in the appropriate fluff to your delivery timelines."
"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed"
"Needs better email append coverage (but every vendor struggles with this)."
"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."
"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."
Earn 20 points
Melissa Data Quality is ranked 9th in Data Quality with 40 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Melissa Data Quality is rated 8.4, while SAP Data Quality Management is rated 8.6. The top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". Melissa Data Quality is most compared with Informatica Address Verification, Precisely Trillium and Experian Data Quality, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Informatica Address Verification, Informatica Data Quality and Syniti Data Quality.
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