Which type of storage is required for implementing multistore tables for SAP HANA?

To implement multistore tables in SAP HANA, extended storage is crucial. Multistore tables are designed to manage large volumes of data efficiently by storing frequently accessed data in memory while enabling less frequently accessed data to reside in a more cost-effective, slower storage medium. Extended storage allows for this separation of data types, accommodating the need for scalability and cost management.

By utilizing extended storage, organizations can optimize their data architecture by leveraging both in-memory capabilities for high-speed processing and the extended storage for a more economical approach to data retention. This storage type supports the concept of separating hot (frequently accessed) data from cold (infrequently accessed) data, facilitating better performance and operational efficiency in the long run.

Approaching data management in this manner not only improves query performance but also aligns with best practices in data lifecycle management, ensuring that SAP HANA can efficiently support business processes and analytics.