We performed a comparison between IBM Infosphere Information Analyzer and Informatica 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.
"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."
"The solution is applicable for both technical and business users."
"The user interface is flexible and the visibility of the data flow is amazing."
"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."
"Seeing the data in the mapping itself is really nice."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"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."
"The ability of the product to leverage the power of big data could be improved."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"The tool's performance is an area that should be given further consideration."
"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."
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IBM Infosphere Information Analyzer is ranked 7th in Data Quality with 2 reviews while Informatica Data Quality is ranked 4th in Data Quality with 6 reviews. IBM Infosphere Information Analyzer is rated 8.6, while Informatica Data Quality is rated 7.4. The top reviewer of IBM Infosphere Information Analyzer writes "Data rules, column analysis are valuable but the interface is not intuitive". On the other hand, the top reviewer of Informatica Data Quality writes "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". IBM Infosphere Information Analyzer is most compared with IBM QualityStage, whereas Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, SAP Information Steward, Oracle Data Quality and SAP Data Services. See our IBM Infosphere Information Analyzer vs. Informatica 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.
