This topic introduces flagship edition instances in OceanBase Cloud, including their definition, key advantages, and main use cases. For more information, see OceanBase Cloud overview.
What is a flagship edition instance?
The flagship edition is a standardized cluster type introduced by OceanBase Cloud for unified architecture evolution. It converges the former TP (transaction processing), KV (key-value), and AP (analytical processing) cluster types into a single cluster type, and clusters capabilities that were specific to TP/KV/AP clusters (such as cache space exposure, service ports, tenant creation templates, and monitoring metrics). Users can create tenants for multiple workload types in the same cluster, enabling flexible "one cluster, multiple workloads" deployment and efficient operations.
When creating a tenant on a flagship edition instance, you can select multiple compatibility modes, including Oracle compatible mode, MySQL compatible mode, HBase API compatible mode, and Table API compatible mode. Transaction processing (TP) and analytical processing (AP) parameter templates are preset so you can match different business workloads with one click.
Key features:
- Multi-workload convergence: The same cluster supports tenants for TP, KV, and AP workloads, simplifying product structure and operational complexity.
- Multi-ecosystem compatibility: Supports MySQL and Oracle compatible modes with high compatibility with mainstream syntax for smooth application migration.
- Efficient access to massive data: Provides HBase and Table modes for semi-structured and unstructured data, enabling low-cost storage and high-concurrency access.
- Scenario-ready out of the box: Preset TP and AP parameter templates to match different business workloads with one click.
- High availability: Multi-replica mechanism for high availability and disaster recovery.
- High performance: High-concurrency read and write operations for large-scale online transaction systems.
- Elastic scalability: Dynamically adjust resources based on business needs to ensure stable performance.
- Full lifecycle management: Complete data management from creation and monitoring to backup and restore.
Core advantages
Native distribution
Comprehensive data validation ensures strong consistency and zero data loss. The innovative "five IDCs across three regions" disaster recovery architecture sets new standards for lossless disaster recovery in the financial industry. Supports local and geo-distributed disaster recovery with multi-active deployment, meeting financial industry level-6 disaster recovery standards (RPO=0, RTO<8s).
HTAP (hybrid transactional and analytical processing)
Based on "one data copy, one engine", simultaneously supports online real-time transaction processing and real-time analytics. Multiple replicas of the same data can be stored in different forms for different workloads while maintaining data consistency. HTAP helps you do both transaction processing and real-time analytics on the same data.
Smooth Oracle/MySQL migration
Highly compatible with Oracle and MySQL, covering most common features including stored procedures and triggers. Supports migration assessment and reverse synchronization for safe data migration with minimal application changes.
Advanced compression technology
LSM-Tree based compression engine reduces storage costs by 70%–90%.
Native multi-tenancy
Built-in multi-tenant architecture allows multiple independent business services in the same cluster with data isolation between tenants and flexible resource management. The flagship edition further enhances multi-tenancy by supporting tenants with different workload types in the same cluster.
Multi-cloud and cross-cloud
Database-as-a-service (DBaaS) and integrated data management platform with cross-cloud disaster recovery and consistent user experience across clouds. Avoids vendor lock-in. Currently supports AWS, Tencent Cloud, Alibaba Cloud, Huawei Cloud, and GCP.
Application scenarios
- Online transaction systems: Banking, securities, e-commerce, and other scenarios requiring high-concurrency transaction processing.
- Mixed workload scenarios: Running transactional and analytical workloads in the same cluster.
- Multi-business convergence: Consolidating multiple independent business systems on one platform to reduce operational cost.
- Massive data access: High-concurrency access to semi-structured and unstructured data.
- Smooth migration: Migrating from Oracle, MySQL, and other traditional databases to OceanBase.