We performed a comparison between IBM Infosphere Information Analyzer 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."What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn."
"You can also schedule and run data quality on the critical data elements on the databases."
"The basic functionality is quite good as is the basic logic and data information."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"The user interface is ok."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"The most valuable feature is the ETL functionality."
"The maintenance of data services is the solution's most valuable feature."
"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."
"The most valuable feature is the logging capability."
"The solution is outdated and is not on cloud."
"What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"The initial setup is complex."
"In the future, Data Services should offer a cloud version."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"The solution should offer more machine learning and automation."
"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."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues."
More IBM Infosphere Information Analyzer Pricing and Cost Advice →
IBM Infosphere Information Analyzer is ranked 11th in Data Quality with 6 reviews while SAP Data Services is ranked 2nd in Data Quality with 45 reviews. IBM Infosphere Information Analyzer is rated 7.6, while SAP Data Services is rated 8.0. The top reviewer of IBM Infosphere Information Analyzer writes "Accessible from anywhere and easy to learn even for non-technical users, but needs more connectors and faster issue resolution from technical support". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". IBM Infosphere Information Analyzer is most compared with Informatica Data Quality, IBM QualityStage and Innovative Systems iLytics Enterprise 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 IBM Infosphere Information Analyzer vs. SAP Data Services report.
See our list of best Data Quality vendors.
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.