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 SAP, Informatica, SAS and others in Data Quality.
"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."
"Initial setup was fairly easy."
"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."
"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."
"Some capabilities from the cloud version are not included in the on-premises version."
"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."
Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.
This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.
Data Quality Components for SSIS
This suite of data transformations for Microsoft SQL Server Integration Services (SSIS) delivers the full spectrum of data quality including data profiling, data verification, data enrichment and data matching. With an intuitive interface and drag/drop capabilities, this powerful toolkit makes it easy to unify data into a single version of the truth for Master Data Management (MDM) success.
Informatica Cloud Data Quality is ranked 8th in Data Quality with 3 reviews while Melissa Data Quality is ranked 6th in Data Quality with 1 review. Informatica Cloud Data Quality is rated 8.6, while Melissa Data Quality is rated 9.0. The top reviewer of Informatica Cloud Data Quality writes "Helpful code writing abilities, scalable, and responsive technical support". 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 Microsoft Data Quality Services, whereas Melissa Data Quality is most compared with Informatica Address Verification, Experian Data Quality, Talend Data Quality, Precisely Trillium and SAP Data Quality Management.
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We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.