The article explains how cloud-driven demands and diverse data types have spurred the rise of multi-model databases, detailing their architecture, storage structures, compression techniques, and access methods using SequoiaDB as a concrete example.
Amid rising cloud outages and strict financial regulations, this article examines traditional multi‑active database solutions such as Oracle RAC and IBM GDPS, contrasts them with modern distributed database designs, and details SequoiaDB’s multi‑active architecture and concrete disaster‑recovery procedures for single‑node, site‑wide, and network failures.
The article details Minsheng Bank’s shift to distributed architecture, outlining regulatory drivers, business requirements, the adoption of sharding, cross‑center high‑availability, and new‑type distributed databases, and showcases performance results of SequoiaDB 3.0 across multiple high‑throughput banking scenarios.
This article compares relational databases with distributed document-oriented NoSQL databases, explaining their scaling models, data modeling differences, and offering practical advice on when and how to adopt document databases such as SequoiaDB for flexible, high‑performance applications in the big‑data era.
