Is NSE worth the effort or is the better question: Do you know your cost per GB of RAM?

Unser erster Buch mit dem Titel "SAP HANA Deepdive: Optimierung und Stabilität im Betrieb" ist erschienen.

Recently handelsblatt released an article with a new SAP RISE option called SAP ERP, private edition, transition option. This option includes a extended maintenance until the end 2033. This means 3 years more compared to the original on-prem extended maintenance. This statement was confirmed by SAP on request of handelsblatt, but customers receive more details, such as the price, in the first half of the year. This is a quite unusual move of SAP without any official statement on the news page. Just to raise more doubts? Strategy? However a good move against the critics and the ever shorter timeline. Perhaps it is also a consequence of the growing shortage of experts for operating and migrating the large number of systems.

With SPS06 and even stronger in SPS07 the HEX engine was pushed to be used more often. This results on the one hand side in easy scenario to perfect results with lower memory and CPU consumption ending up in faster response times. But in scenarios with FAE (for all entries) together with FDA (fast data access), it can result in bad performance. After some customers upgraded their first systems to SPS07 I recommended to wait for Rev. 73/74. But some started early with Rev. 71/72 and we had to troubleshoot many statement. If you have similar performance issues after the upgrade to SPS07 feel free to contact us! Our current recommendation is to use Rev. 74 with some workarounds. The performance degradation is extreme in systems like EWM and BW with high analytical workload.

When it comes to optimizing SAP HANA, the balance between performance and cost efficiency is critical. I am happy to share a success story where we used the Native Storage Extension (NSE) to significantly optimize memory usage while being able to adjust the sizing at the end. The Challenge: Our client was operating on a 4 TB memory SAP HANA system, where increasing data loads were driving up costs and memory usage. They needed a solution to right-size their system without compromising performance or scalability. The client wanted to use less hardware in the future. The Solution: We implemented NSE to offload less frequently accessed data from memory. The activation was customized based on table usage patterns: 6 tables fully transitioned to NSE 1 table partially transitioned (single partition) 1 table transitioned by specific columns

SAP NSE was introduced with HANA 2.0 SPS04 and based on a similar approach like data aging. Data aging based on a application level approach which has a side effect if you are using a lot of Z-coding. You have to use special BADI's to access the correct data. This means you have to adapt your coding if you are using it for Z-tables or using not SAP standard functions for accessing the data in your Z-coding. In this blog we will talk about the technical aspects in more detail.

The SAP Enterprise Cloud Services Private Cloud Customer Center (PC3) - a new digital delivery engagement model dedicated to manage service delivery for RISE with SAP S/4HANA Cloud, private edition customers.

Proactive maintenance for SAP RISE will start now in 2025 with minor tasks like updating SPAM/SAINT and ST-PI / ST-A/PI. For those companies which are familiar with frequent maintenance windows, they are good to have such time frames to hold the systems up-to-date and secure. However, for larger companies where such frequent maintenance windows are not common because every minute of downtime is costly and may only really be necessary once, the situation is quite different.

Dynamic Aging makes it possible to automatically manage at which point in time older partitions can be moved to the 'warm' data store. The data in a new OTHERS partition is 'hot' data, that is, stored in memory with the load-unit attribute implicitly set to COLUMN LOADABLE. As an extension of the Dynamic Range Partitioning feature Dynamic Aging makes it possible to automatically manage when older partitions can be moved to the 'warm' data store (Native Storage Extension) with the load-unit attribute for the partition set to PAGE LOADABLE. Warm data is then stored on disk and only loaded to memory when required. Dynamic Aging can be used with both THRESHOLD mode (defining a maximum row count number in partition OTHERS) and INTERVAL mode (defining a maximum time or other numeric interval between each new partition). For example, for a partitioned table which is managed by dynamic partitioning and containing date/time information, you can specify an age limit (for example six months) so that when data in an ol