We performed a comparison between IBM InfoSphere DataStage and SAP Analytics Hub based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The Hierarchical Data Stage is good."
"It works with multiple servers and offers high availability."
"The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes."
"We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions."
"The solution has improved the time it takes to perform tasks related to batch applications."
"Offers great flexibility."
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need."
"The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed."
"This product provides good reports using a single pane of glass."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great."
"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."
"The interface needs improvement. It is really too technical. That is the main problem."
"Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."
"Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere."
"Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data."
"The technical support for Analytics Hub is limited and could be improved."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"The interface can be simplified because it is not a user-friendly experience."
"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while SAP Analytics Hub is ranked 46th in Data Integration with 6 reviews. IBM InfoSphere DataStage is rated 7.8, while SAP Analytics Hub is rated 7.2. 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 SAP Analytics Hub writes "Powerful capabilities for cross-functional reporting and dashboard creation, with real-time access". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas SAP Analytics Hub is most compared with SAP Analytics Cloud, Workday Prism Analytics, Logi Analytics and Salesforce Einstein Analytics. See our IBM InfoSphere DataStage vs. SAP Analytics Hub report.
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