POLARDB is designed for business-critical database applications that require fast performance, high concurrency, and automatic scaling. You can scale up to millions of queries per second and 100TB per database cluster with 15 low latency read replicas. POLARDB is six times faster than standard MySQL database, and delivers the security, reliability, and availability of traditional commercial databases at 1/10 the cost.
POLARDB embodies the proven database technology and best practices honed over the last decade that supported hyper-scale events such as the Alibaba Double 11 Global Shopping Festival. On November 11, 2018, POLARDB successfully supported 1 billion orders in 24 hours, including sudden order spikes of 122 times in a second.
- Large storage capacity POLARDB supports up to 100 TB of data. You can scale out an instance up to 16 nodes and each node supports up to 88 vCPUs. POLARDB also automatically adjusts the storage space based on your requirements. Fees are charged based on the storage that you use, helping you lower development costs.
- Top performance and quick response to a sudden load POLARDB decouples compute and storage resources, giving it 6 times faster than standard MySQL databases in high concurrency scenarios. The compute and storage nodes are optimized to increase resource utilization rate. A single node can handle up to 1 million QPS and takes less than 5 minutes to be added.
- High stability and data security POLARDB uses the ‘one primary node, multiple replicas’ architecture, in which all read/write and read-only nodes of the same instance access the same replica, greatly reducing storage costs. POLARDB also supports active/standby switchovers to prevent data loss and data inconsistency caused by asynchronous replication. Read-only replicas can be created within minutes to back up and restore data.
- High compatibility ApsaraDB for POLARDB is fully compatible with MySQL. You can migrate data to Alibaba Cloud without modifying the code. ApsaraDB for POLARDB will soon be fully compatible with the PostgreSQL and Oracle engines.