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."You can model the data there, connect the data models with the business processes and create data lineage processes."
"DataStage allows me to connect to different data sources."
"The most valuable features are data virtualization and reporting."
"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."
"Its data preparation capabilities are highly valuable."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"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."
"The initial setup is straightforward. It usually takes around eight months but it depends on a customer's requirements. We can spend a month or two customizing."
"Its in-memory capabilities are good, which is why many companies still use it."
"The most valuable feature of SAP HANA is the interaction it provides with external suppliers and clients."
"One feature I find very valuable, is the response time of the application on the database memory."
"In comparison with other DMS solutions, it offers good performance."
"The solution is stable."
"The solution offers advanced features that the company was struggling to implement."
"SAP HANA is a stable solution."
"The solution could have more connectors."
"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 product must improve its performance."
"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."
"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 product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"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 solution's user experience is an area that has room for improvement."
"The solution needs to work on its performance and make it faster."
"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."
"Technical support should be more customer-friendly."
"HANA could be improved by adding analytics and development models in the institution."
"This is an expensive solution."
"I give the scalability of SAP HANA a six out of ten."
"The solution's development platform should be more flexible and scalable to adapt to other solutions."
"The solution is very expensive for us."
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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