We performed a comparison between Informatica Cloud Data Quality and Melissa Data Quality based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."Initial setup was fairly easy."
"Stability-wise, I rate the solution a ten out of ten."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"The user-friendliness and performance of Informatica is quite impressive."
"The profiling features are much better than the on-premise version."
"The most valuable feature is the rule specification."
"The high value in this tool is its relatively low cost, ease of use, tight integration with SSIS, superior performance (compared to competitors), and attribute-level advanced survivor-ship logic."
"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."
"Our customer database is now significantly more accurate and reliable."
"We ran a standard name, address, and zip code, internal dedupe between the different files we had purchased, and we were able to quickly notify our vendor that they had tens of thousands of duplications that they were not even aware of."
"Provides quality accurate data that our downstream solutions depend on."
"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."
"I was able to dedupe millions of records in the past, and append the most recent email."
"We like having the ability to write our own utilities/software to process our records and store the final output the way we want."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"Some capabilities from the cloud version are not included in the on-premises version."
"The integration with older technology and cloud quality needs improvement."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"The high price of the product is an area of concern where improvements are required."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"Logical views are a little bit behind in comparison to the on-premise version."
"There are some hitches in setup, especially with the new encoding, but otherwise it’s relatively simple."
"It will mix up family members at times, so we will change addresses at times that shouldn’t be changed."
"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."
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate."
"It would be helpful if a list of the codes and explanations could be included."
"Needs to provide more phone numbers, even cell numbers (scrubbed numbers)."
"Needs better email append coverage (but every vendor struggles with this)."
"We encounter failed batch processes once in a while, but their team is quick to rectify issues."
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Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while Melissa Data Quality is ranked 9th in Data Quality with 40 reviews. Informatica Cloud Data Quality is rated 8.2, while Melissa Data Quality is rated 8.4. The top reviewer of Informatica Cloud Data Quality writes "Is user friendly and can handle large volumes of data without compromising performance". On the other hand, the top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". Informatica Cloud Data Quality is most compared with Informatica Data Quality, Talend Data Quality and Syniti Data Quality, whereas Melissa Data Quality is most compared with Informatica Address Verification, SAP Data Quality Management, Precisely Trillium and Experian Data Quality.
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