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 are data virtualization and reporting."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"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."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"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."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"Its data preparation capabilities are highly valuable."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"It's easy to use, and the Hana Studio is pretty good."
"What I like most are the dashboards and pervasive analytics."
"It is very flexible to integrate with SaaS components."
"We use SAP HANA for Master Data Governance."
"The solution can easily be modeled."
"The feature that I like the most is that we can transport the data to our web data application. SAP HANA's performance is really perfect. We're working on big data, and SAP HANA is really working on high performance. We are happy working with it."
"The product's initial setup phase was really easy."
"The solution operates well."
"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."
"The solution's user experience is an area that has room for improvement."
"The technical support could be a little better."
"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."
"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."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"The product must improve its performance."
"There's an issue in the partition. When you record more than two million records, partitioning does not work well. In Oracle it's easy. SAP must resolve this issue in order to be more competitive with Oracle."
"The solution could improve by having better migration flexibility. For example, it would be helpful if there was a way for customers could check their nonproduction and production deployments."
"The solution is very expensive, however. The pricing depends on the number of users and many other factors that affect licensing."
"The solution's development platform should be more flexible and scalable to adapt to other solutions."
"The openness of the system could be more developed. The solution should go into the cloud. The cloud mechanism should be more invested."
"Uses a large amount of RAM and is costly."
"The bid process needs to be improved."
"The releases need to be more stable. It's surprising to still encounter significant bugs after ten years of the product being available."
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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