OceanBase Cloud (Pay-as-you-go)

Product Details
Product Highlights

Elastic and Transparent Scalability, High Performance
Delivers seamless horizontal, vertical, and tenant-level scaling without manual partitioning. Supports flexible, non-disruptive expansion while maintaining high performance without requiring application modifications.

Always-On High Availability
Ensures zero data loss (RPO = 0) and recovery times under eight seconds (RTO < 8s), enabled by automated disaster recovery through a distributed, multi-replica architecture.

HTAP Database for Real-Time Analytics
Supports row-based, column-based, and hybrid storage models to meet both transactional and real-time analytical requirements, delivering consistent performance across varying workloads.

Multi-Model, Simplified Architecture
Provides native support for multiple data models and high compatibility with Oracle and MySQL. Integrates seamlessly with SQL and NoSQL APIs, including KV and HBase interfaces, enabling flexible handling of large-scale data and diverse business scenarios.

Cost Efficiency at Scale
Achieves 70–90% storage cost savings through advanced compression technologies. Built-in multi-tenancy enables database consolidation, lowering operational costs and improving overall efficiency.

Product Description
Typical Use Cases for OceanBase Cloud

High-Concurrency Workloads
Industries such as retail, e-commerce, and fintech frequently encounter extreme concurrency challenges, including hotspot contention, capacity planning complexity, high scaling costs, and stability risks during peak demand. Leveraging over a decade of experience supporting large-scale events like Double 11, OceanBase delivers real-time scalability and ultra-low latency to adapt dynamically to workload fluctuations, ensuring stable performance for high-volume transactions.

Cost Optimization
As data volumes and database instances grow, total cost of ownership increases significantly. OceanBase’s native multi-tenancy consolidates multiple databases into a single cluster, maximizing resource utilization. Its high-compression distributed storage engine requires only one-quarter to one-third of the storage used by MySQL or Oracle, reducing storage costs by up to 70–90% while preserving performance.

Real-Time Analytics (HTAP)
Traditional OLTP systems often struggle with analytical workloads, resulting in slow query performance and bottlenecks. Separate analytics environments introduce synchronization overhead, additional costs, and reduced real-time visibility. OceanBase’s HTAP architecture enables transactional and analytical processing on the same dataset, with resource isolation to protect OLTP workloads. Advanced query optimization, vectorized execution, and parallel processing engines significantly improve complex SQL performance and minimize slow queries.

Cloud Migration for Legacy Databases
Migrating legacy databases to the cloud is often complicated by heterogeneous environments and limited cross-cloud migration tools. With strong compatibility with Oracle and MySQL syntax, OceanBase enables cloud migration with minimal application changes. Built-in data validation ensures consistency, while reverse synchronization capabilities support failback and maintain business continuity.

Integrated, Sharding-Free Scalability
Traditional databases face scalability challenges once single-node limits are reached, often requiring complex sharding strategies that increase operational overhead. OceanBase’s native distributed architecture supports seamless horizontal scaling without manual sharding, downtime, or data redistribution. This integrated approach simplifies database scaling and reduces the complexity of managing distributed systems.