What combination enabled real-time computing in SAP HANA?

The combination that enabled real-time computing in SAP HANA is primarily attributed to in-memory technology and multicore CPUs. In-memory technology allows data to be stored directly in the RAM rather than on traditional disk storage, significantly reducing access times and enabling faster data processing. This setup supports high-speed querying and analytics on large datasets, making real-time analysis feasible.

Furthermore, multicore CPUs enhance this capability by allowing parallel processing. With multiple cores working simultaneously, SAP HANA can execute several processes at once, further accelerating the computation and analytics. This synergy between in-memory data storage and the processing power provided by multicore architectures is what truly empowers HANA to deliver real-time analytics and insights.

In contrast, other combinations that include solid-state disks or large level 1 caches do not provide the same level of efficiency and speed. Solid-state disks can improve performance compared to traditional disks but do not achieve the same level of speed as in-memory processing. Additionally, large caches, while beneficial, do not substitute for the speed and functionality provided by in-memory computing combined with multicore processing.