Overview
OceanBase Cloud
OceanBase Cloud: One Database. Transactions, Analytics, and AI--Zero Data Loss.
OceanBase Cloud

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Run mission-critical transactions, real-time analytics, and AI workloads on OceanBase Cloud, a fully managed distributed SQL database (open source) surviving node, AZ, and region failures with zero data loss (RPO=0) and sub-8-second failover. MySQL and Oracle compatible.
Born Battle-Tested, originally built for Alipay handling 100M+ TPS during Singles' Day, OceanBase has processed the world's largest transaction volumes with zero data loss. Now available as a fully managed service on AWS. Product Capabilities Operational Simplicity: Push-button deployment, rolling upgrades, zero-downtime patching, automated backups, and Point-in-Time Recovery (PITR). Always-on Availability: Zero data loss (RPO=0) and sub-8-second recovery (RTO<8s). Automatic AZ failover with active-active or primary-standby replication. Intrinsic Security: End-to-end encryption (TDE), granular RBAC, and compliance with global data protection standards. Core Benefits Unified Workload Engine: OLTP + OLAP + AI on one engine. Row, column, or hybrid storage per table. Elastic Scalability: Instant linear scaling for reads and writes--horizontal, vertical, or tenant-level--without downtime. Radical Cost Efficiency: 70-90% storage savings, 30% TCO reduction via advanced compression and native multi-tenancy. Seamless Migration: Drop-in MySQL and Oracle compatibility with reverse sync. Build with mainstream frameworks and tools.
Highlights
- Unified Database for OLTP, OLAP & AI: Run mission-critical transactional, real-time analytics, and AI workloads on a single distributed engine--eliminating ETL pipelines, data movement, and stack sprawl. Define row, column, or hybrid storage at the table level and execute instant, zero-downtime schema changes.
- Unbreakable Availability: Architect for the unexpected, achieve zero data loss (RPO=0) and sub-8-second automatic failover (RTO<8s) with a distributed multi-replica architecture. Survive node, zone, and region failures automatically while maintaining continuous service with active-active or primary-standby deployment.
- Cost Efficiency at Scale: Slash storage costs by 70-90% and reduce overall TCO by 30% through advanced compression and native multi-tenancy. Scale reads and writes elastically-horizontally, vertically, or at tenant level -without downtime or manual sharding.
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Dimension | Cost/unit |
|---|---|
Each unit is 0.1 cent of usage | $0.001 |
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OceanBase provides technical support to assist users with performance optimization, troubleshooting, and issue resolution. For support requests or to view details about our support policy, please visit:https://en.oceanbase.com/ticket/create For additional information, feel free to reach out via our Contact Us page:https://en.oceanbase.com/contactus?recordName=footer&fromPage=/contactus
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“Powerful Distributed Database for Large-Scale Enterprise Workloads”
Distributed architecture with financial-grade reliability
OceanBase was originally designed for large-scale financial systems, so it handles high concurrency, distributed transactions, and failover very well.
MySQL compatibility
For many teams, migrating existing MySQL applications is relatively smooth, which lowers adoption cost compared to completely different distributed databases.
Separation of storage and compute capabilities
It can scale horizontally across multiple nodes without the operational complexity seen in some traditional sharding solutions.
Strong HTAP capability
It supports both transactional (OLTP) and analytical (OLAP) workloads in one system, reducing the need for separate architectures.
Excellent performance under large datasets
OceanBase performs especially well in scenarios involving massive tables, high TPS, and distributed deployments.
Operational ecosystem
Tools like OCP (OceanBase Cloud Platform), OMS, backup/recovery, and tenant-based resource isolation make enterprise operations more manageable.
OceanBase is not just “another MySQL.” Concepts like tenants, zones, resource units, distributed execution plans, and partitioning require deeper understanding for proper operation and tuning.
Operations and troubleshooting can be complex
In distributed deployments, diagnosing issues involving RPC, replication, observer nodes, compaction, or transaction timeouts can be harder than traditional single-instance MySQL troubleshooting.
Instead of splitting data across many MySQL instances and maintaining application-level sharding logic, OceanBase handles data distribution automatically. This greatly reduces development and maintenance complexity.
Improving high availability and disaster recovery
With multi-replica architecture and automatic failover, services can continue running even when a node fails. This improves system stability for critical business applications.
Supporting large-scale concurrent workloads
OceanBase is designed for scenarios with massive transaction volumes and large datasets, so it can scale horizontally as business traffic grows.