SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
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SAP HANA Cloud
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SAP HANA Cloud
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Yes
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Includes a one year free trial.
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SAP HANA Cloud
Considered Both Products
SAP HANA Cloud
Verified User
Employee
Chose SAP HANA Cloud
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the …
Multiple things as SAP HANA Cloud is used to handle large volumes of data with smooth use of different data types, including great real-time data storage.
The main reason is purely HANA database performance, and it supports both row and column store data. And the way optimization is running behind the schedule is another added benefit.
Verified User
Engineer
Chose SAP HANA Cloud
Main features is in memory database. SAP HANA Cloud is specifically good for Accounting and supply chain management.
SAP Hana Cloud is more feature-packed and has higher quality features than many alternatives. It is also the market leader, which made it a no-brainer for us.
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of …
One area where SAP HANA Cloud stood out for us is in its support for real-time analytics on live transactional data. As a business that relies on up-to-date information to make critical decisions, this capability was essential for us. We found that SAP Analytics Cloud was more …
Both SAP Cloud Platform and Oracle Cloud Platform provide the API management, data and application integration, using real-time insights to develop and deploy integrate applications, but SAP proved more beneficial for our firm and was mostly a decision taken by management.
Earlier, the cloud-based database of azure was being used, and since it is also a cloud-based database solving all the analytical problems but once using Sap Hana, it seems to be more modern type problem solving and highly secure and highly user-friendly, solving a lot of …
The reason remains the same , The dataflow between SAP application works seamlessly with SAP HANA cloud . The in memory capability really helps here a lot to make the reports run faster . Where as the other database engines that doesn't have the in-memory capability.
In any software selection process, considering all options is critical to ensuring the best system is selected.It's even true for top-tier products like S/4HANA, SAP's newest ERP platform. For larger, more complex global organizations, an enterprise-class option from SAP may …
It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
In addition to the points described in the previous parts of the review, I believe that as I gain more experience with the product over time, I will be able to better describe my experience with this tool. Meanwhile, I can confirm that the possibilities presented to my organization by the change to SAP HANA, at the moment, have been very important to evolve the analytical and strategic field towards a new path.
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.