We performed a comparison between IBM InfoSphere DataStage and Informatica Data Integration Hub based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"We can view what we want to do. We can transform data and put them on tables."
"The solution has improved the time it takes to perform tasks related to batch applications."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"Once you have Infosphere up and running properly, it is stable."
"The most valuable feature is the ability to transfer information via notes."
"The product is easy to deploy."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."
"Performance and flexibility-wise, they're very user-friendly."
"The technical support services are good."
"The initial setup can be complex."
"The solution can be a bit more user-friendly, similar to Informatica."
"It would be great if they can include some basic version of data quality checking features."
"There could be more customization options for the product."
"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component."
"Currently lacking virtualization ability."
"There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for."
"The solution should be more user-friendly."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"The initial setup was not very straightforward. Not complex, but not very simple either."
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IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Informatica Data Integration Hub is ranked 37th in Data Integration with 3 reviews. IBM InfoSphere DataStage is rated 7.8, while Informatica Data Integration Hub is rated 8.0. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of Informatica Data Integration Hub writes "Excellent at standardizing mass data and capable of integrating with multiple solutions ". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Azure Data Factory, SAP Data Hub and Mule Anypoint Platform.
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