We performed a comparison between IBM Cloud Pak for Data and SAP HANA based on real PeerSpot user reviews.
Find out in this report how the two Data Virtualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."
"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."
"Its data preparation capabilities are highly valuable."
"DataStage allows me to connect to different data sources."
"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"The product handles high volumes very well and provides good integration."
"We are using the solution for the DW system. The primary function of the solution is for the database in memory."
"This solution is very fast."
"We have found that the Fiori Apps are particularly good."
"The most valuable features are the flexibility and the integration with other solutions in data quality."
"The solution offers advanced features that the company was struggling to implement."
"The UX experience is very good."
"Technically it resembles Oracle, but as a somewhat lighter version."
"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."
"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"The solution could have more connectors."
"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."
"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."
"The solution's user experience is an area that has room for improvement."
"The technical support could be a little better."
"The solution could improve in the handling of backup data and the administration tools."
"The inclusion of a well-performing Time Machine is vital."
"The solution is very expensive, however. The pricing depends on the number of users and many other factors that affect licensing."
"When you do a report on a non-SAP platform, you face some compatibility problems."
"The product is very demanding on memory requirements."
"The JDBC connectors are very slow."
"The performance and integration with other products are areas in need of improvement."
"I would like to see improvements in the connectivity of the solution with other BI software. Not every software can connect to it natively."
IBM Cloud Pak for Data is ranked 3rd in Data Virtualization with 11 reviews while SAP HANA is ranked 2nd in Data Virtualization with 81 reviews. IBM Cloud Pak for Data is rated 8.0, while SAP HANA is rated 8.4. The top reviewer of IBM Cloud Pak for Data writes "A scalable data analytics and digital transformation tool that provides useful features and integrations". On the other hand, the top reviewer of SAP HANA writes "Excellent compatibility between modules and the control". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Informatica PowerCenter, whereas SAP HANA is most compared with Oracle Database, SQL Server, MySQL and IBM Db2 Database. See our IBM Cloud Pak for Data vs. SAP HANA report.
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