Typical Use Cases for OceanBase Cloud

High Concurrency
Industries like retail, e-commerce, and fintech increasingly face high-concurrency scenarios where issues such as hotspot access, capacity forecasting, high expansion costs, and stability risks can hinder peak performance. Drawing from over a decade of supporting Double 11, OceanBase’s real-time scalability and low-latency processing enable seamless adaptation to load changes, delivering smooth performance for even the most intensive transactions.

Cost Reduction
With growing data volumes and database instances, total database ownership costs rise significantly. OceanBase’s native multi-tenancy allows consolidation of multiple instances into one cluster, optimizing resources and storage. Its high-compression distributed storage engine uses just 1/4-1/3 of the storage space required by MySQL or Oracle, reducing storage costs by 70-90% while balancing performance and compression.

Real-Time Analytics
Traditional OLTP databases lack efficient analytical capabilities, leading to slow SQL execution and performance bottlenecks. Establishing dedicated analytics instances requires extra synchronization paths, increasing costs and impacting stability and real-time capabilities. OceanBase’s HTAP capabilities enable transactional and analytical processing on the same data, with resource group isolation to protect transactional performance. It includes an enterprise-grade query optimizer, vectorized execution, and parallel engines, optimizing complex SQL execution for large-scale joins and reducing slow SQL bottlenecks.

Cloud Migration for Legacy Databases
Migrating legacy databases to the cloud can be complex due to heterogeneity, lacking effective tools for cross-cloud data migration. With strong compatibility with Oracle and MySQL syntax, OceanBase allows cloud migration with minimal application changes. It provides data validation capabilities for consistency checks and reverse synchronization for failback, ensuring business continuity.

Integrated Sharding-Free Scaling
Scaling traditional databases can be challenging when single-node limitations are reached, as partitioned setups complicate maintenance and add costs. OceanBase’s native distributed architecture enables horizontal scaling through database partitioning mechanisms, eliminating the need for complex sharding strategies. This simplifies scaling without downtime or data redistribution, reducing the complexity of distributed database design.