PolarDB is a cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. ApsaraDB for PolarDB provides the performance and availability of traditional enterprise databases and the flexibility and cost-effectiveness of open-source databases.

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Use PolarDB Storage Plan To Save More
If you need to store a large amount of data, such as 1,000 GB of data or more, storage plans are more cost-effective. The storage costs reduces from the day you use PolarDB Storage Package.
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PolarDB MySQL 8.0 Archive Database Available For Commercial Use
Using X-Engine instead of InnoDB as its default Storage Engine, which can store data up to 200TB but with lower costs reducing by up to 70%, PolarDB MySQL 8.0 Archive Database is suitable for archive data with low demand for computing such as orders and social messages.
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Let Your Database Amaze
See how PolarDB can save you from tedious operations, exhausted troubles and challenges coming from uncertainty.

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PolarDB for MySQL
100% compatible with open-source MySQL and RDS MySQL
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PolarDB for PostgreSQL
Decouple of compute and storage, extreme auto scaling, lower TCO
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PolarDB for Oracle
High compatible with Oracle syntax, supports migration from all Oracle versions
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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 100 TB per database cluster with 15 low latency read replicas. PolarDB is six times faster than standard MySQL databases, 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, during which the number of queries received per second spiked by 122 times.


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
PolarDB is fully compatible with MySQL. You can migrate data to Alibaba Cloud without modifying the code. PolarDB will soon be fully compatible with the PostgreSQL and Oracle engines.


Compute and Storage Decoupling

PolarDB has optimized the performance of CPUs and memory, and reduces the costs of storage.

Dedicated compute and storage features

Compute nodes (DB servers) execute SQL statements, read data, and write data. Storage nodes (data chunk servers) store data and database snapshots and are grouped into clusters.

Improves resource usage and computing performance

PolarDB is 6 times faster than standard MySQL database in handling large amounts of concurrent queries. Each node can handle more than 1 million QPS, and it takes less than 5 minutes to scale out the number of compute nodes.

On-demand storage capacity

When you purchase an PolarDB cluster, you do not need to specify the storage space.

Shared storage

For PolarDB, all nodes in a cluster share the same replica stored on storage nodes.

Large storage capacity

Each PolarDB cluster supports to scale up to 100 TB and can be scaled out to up to 16 nodes. Each node can have up to 88 vCPUs.

Quick scale-out of read-only instances

You do not need to replicate data when adding read-only nodes. A read-only instance can be created in a few minutes.

Free storage for read-only instances

To add a read-only instance, you only need to pay for the compute nodes. There are no storage fees for the read-only instance.

RDMA-capable network and optimized backup feature

PolarDB supports RDMA-capable networks and the latest PAXOS block storage technology.

Quick data backup and recovery

PolarDB enables you to back up data in a few seconds. When a node fails, you can simply restart the process to resume the service.

A full backup within minutes

PolarDB features the copy-on-write technology that create a snapshot in a few seconds, or create a full copy of the data in a few minutes.

Zero data loss during primary and secondary switchovers

This resolves the issue of data inconsistency between read-only and read/write nodes caused by asynchronous replication.

Quick data migration

PolarDB supports easily migrating RDS for MySQL 5.6 databases to PolarDB.

For more information, see the PolarDB documentation.


  • Typical scenario
Typical scenario

Typical scenario

PolarDB is widely adopted by users in New Retail, Gaming, Internet Finance, and Live-streaming.

PolarDB supports scenarios challenged by high concurrency and sudden traffic volume increase, such as in promotions and flash sales. Instances can be scaled out within seconds, meeting the read/write requirements for enterprise-level large-scale data analysis. Scale-out events can be quickly implemented and the availability of database clusters is enhanced, while keeping storage costs at a minimum.

Problems solved

  • Size Limitations

    Due to the limitations of traditional MySQL databases, such as the use of physical disks and traditional data backup technology, a MySQL database is typically no more than 3 TB. To keep up with the rapid growth of data, you have to scale-out clusters, migrate data, and shard databases. This not only increases development costs but also causes service interruptions.

  • Scalability Limitations

    In a traditional storage architecture, read/write and read-only nodes have their data replicas. If you want to add a read-only node, you have to replicate all of the existing data. Typically, the full replication process is time-consuming, making this scaling option inefficient.

  • Data Consistency and Availability Limitations

    Traditional MySQL read/write nodes and read-only nodes use incremental synchronization to sync data, which takes time to reach read consistency on both nodes. If an application retrieves data from the read-only node, the consistency of the data read cannot be guaranteed. In addition, the synchronization delay may also adversely affect node switchover and cluster availability.

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Top Scientists Live: Tech Secrets to Double 11's Success Revealed

Introduces the technologies and system architecture of PolarDB behind the success of Alibaba Double 11 Global Shopping Festival.

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Best Practices

Learn How Alibaba Cloud's Databases Could Support 87 Million Transactions per Second

Uncovers how PolarDB maximizes its performance in transactional scenarios.

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All-New High-Performance PolarDB Stack, Highly Compatible with Oracle

Introduces the features of PolarDB Box and the best practices for Oracle scenarios.

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Seizing the Opportunity in the New Cloud Native Battlefield

Introduces the technical benefits of PolarDB.

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Setting up Database Performance Benchmarking on Alibaba Cloud

This document gives you a guidance to implement database performance tests based on commonly used benchmarks, including the Transaction Processing Performance Council (TPC) and sysbench benchmarks.


Building an Auto Scaling System on Alibaba Cloud

This solution allows you to automatically adjust the compute capacity in response to traffic fluctuations. The contents include database scaling to meet increased data demands and Redis caching across zones to ease the load on the database.

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Getting Started

PolarDB: A Technical Guidebook

PolarDB User Guide


Creating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming

Introduces typical industry solutions of ApsaraDB for PolarDB.


Introducing Alibaba Cloud's Database Solutions

Describes how Alibaba Cloud database services support and secure your workloads.


Introducing Cloud-Native Databases

Download our ebook on cloud-native databases to discover more about getting the most out of innovative Database as a Service products and services.

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Certification course: Alibaba Cloud PolarDB Technical Essentials

Understand Alibaba Cloud PolarDB basic functions and operation details.

0.01 USD

Original price: USD 10.00

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Upgraded Support For You

1 on 1 Presale Consultation, 24/7 Technical Support, Faster Response, and More Free Tickets.

1 on 1 Presale Consultation

Consulting by experienced cloud experts.Learn More

24/7 Technical Support

Extended service time from 10 hours 5 days a week to 24/7. Learn More

6 Free Tickets per Quarter

The number of free tickets doubled from 3 to 6 per quarter. Learn More

Faster Response

Shorten after-sale response time from 36 hours to 18 hours. Learn More

Create PolarDB Instance

More Information About PolarDB

PolarDB Documentation > PolarDB Console >