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."One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"DataStage allows me to connect to different data sources."
"Its data preparation capabilities are highly valuable."
"The most valuable features are data virtualization and reporting."
"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."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"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."
"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."
"The data storage requirement is reduced from the original database to the HANA database."
"SAP HANA's best features are its programmability and extensibility - you can size and shape the software however you need."
"SAP HANA's most valuable features are monitoring, reporting, and price and stock control."
"The user interface is very good. You can do any kind of reporting analytics from the platform."
"The in-memory computing and the efficient response time are very good features."
"If you want to scale with new processes and new reports, that's fairly easy."
"One feature I find very valuable, is the response time of the application on the database memory."
"As I only worked part-time on SAP HANA, I did not have the opportunity to explore the advanced features of the solution. However, I did work with basic features, such as user administration and access controls for the accounting department. The feature that stood out to me the most was the Single Sign-On and user administration, backup, and server management. My experience with SAP HANA was mainly focused on basic server improvements."
"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."
"The solution could have more connectors."
"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 technical support could be a little better."
"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 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."
"It could be a bit more scalable."
"SAP HANA is not perfect and they could improve by having more options and more integration."
"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."
"Uses a large amount of RAM and is costly."
"The relationship with a partner that sells SAP could be better. We depend much more on our own development, and the partner is for selling us the solutions, so we need them to be able to supply help and answers. The partner isn't very helpful, and we have to rely on our own knowledge and research."
"FI, or the financial module of SAP, has room for improvement. It has to have some better localization for the Middle East, especially in regards to taxes and the letter of credit cycle. I would like to see better localization from the HCM."
"Ease of use could be improved in SAP HANA. I like SAP because SAP solutions can be used by anyone, which means even laymen can start working on SAP tools, but in SAP HANA modeling, you'll need to know some other technologies and sequel scripting, and you need a separate skillset, so if you don't have the skillset, you won't be able to work on SAP HANA. Making SAP HANA low-code would make it even better."
"The solution could improve in the handling of backup data and the administration tools."
IBM Cloud Pak for Data is ranked 3rd in Data Virtualization with 11 reviews while SAP HANA is ranked 2nd in Data Virtualization with 79 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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