We performed a comparison between Informatica Cloud Data Quality and SAP Data Services 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.
"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 valuable feature is the rule specification."
"The user-friendliness and performance of Informatica is quite impressive."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"The profiling features are much better than the on-premise version."
"Initial setup was fairly easy."
"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."
"Stability-wise, I rate the solution a ten out of ten."
"The most valuable feature of SAP Data Services is the integration with data sources."
"The maintenance of data services is the solution's most valuable feature."
"The reporting on the data, even from third-party software, is very good."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"The initial setup is not complex."
"The most valuable feature is the ETL functionality."
"You can always manipulate a lot of things as long as you have the skill level."
"The most valuable feature is the logging capability."
"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."
"Logical views are a little bit behind in comparison to the on-premise version."
"Some capabilities from the cloud version are not included in the on-premises version."
"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."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"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."
"The integration with older technology and cloud quality needs improvement."
"The pricing of the solution should be improved."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
"There should be some kind of enhancement that can be done on the admin side of certain sites where we can assign the roles and responsibilities. We should be able to control who is using the tool and how."
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"The migration of the solution between different environments is quite complex."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade."
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Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while SAP Data Services is ranked 2nd in Data Quality with 45 reviews. Informatica Cloud Data Quality is rated 8.2, while SAP Data Services is rated 8.0. 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 SAP Data Services writes "Responsive support, scalable, and beneficial integration". Informatica Cloud Data Quality is most compared with Informatica Data Quality, Talend Data Quality and Syniti Data Quality, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry. See our Informatica Cloud Data Quality vs. SAP Data Services 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.
