We performed a comparison between Informatica Cloud Data Quality and Syniti 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."Stability-wise, I rate the solution a ten out of ten."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"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 profiling features are much better than the on-premise version."
"The most valuable feature is the rule specification."
"The user-friendliness and performance of Informatica is quite impressive."
"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."
"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."
"The customer service and support is good."
"The high price of the product is an area of concern where improvements are required."
"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."
"Logical views are a little bit behind in comparison to the on-premise version."
"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."
"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."
"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."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
"The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."
"It would be good if Syniti Data Quality could integrate more AI in the future."
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Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while Syniti Data Quality is ranked 7th in Data Quality with 4 reviews. Informatica Cloud Data Quality is rated 8.2, while Syniti Data Quality is rated 8.6. 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 Syniti Data Quality writes "A highly stable solution that can be deployed very quickly and easily". Informatica Cloud Data Quality is most compared with Informatica Data Quality and Talend Data Quality, whereas Syniti Data Quality is most compared with SAP Data Services and SAP Data Quality Management. See our Informatica Cloud Data Quality vs. Syniti Data Quality report.
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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.
