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Cloud native database PolarDB
The cloud native database PolarDB is a self-developed product of Alibaba Cloud. Under the storage and computing separation architecture, it takes advantage of the combination of software and hardware to provide users with second level elastic, high-performance, massive storage, secure and reliable database services. 100% compatible with MySQL and PostgreSQL ecosystems, supporting distributed expansion, and highly compatible with Oracle syntax.
PolarDB 2-core 4GB must buy every year, and the renewal fee must be as low as 229/year!
Purchase PostgreSQL Free trial Online consultation Product documentation
Latest news of PolarDB MySQL New Activity As low as 6 fold for new users, the higher the configuration, the more savings! Free trial Three month free trial for new users New version The standard version goes online, and new costs enjoy core capabilities new function Cluster version supports one click to start high compression engine (X-Engine)
Latest news of PolarDB PostgreSQL New experience Experience PolarDB PostgreSQL one-stop HTAP for free Free trial Three month free trial for new users New version The public beta of compatible PostgreSQL version 14 is over, and the official version is online new function One stop HTAP service
Latest news of PolarDB distributed version New experience Experience PolarDB-X transparent distributed function for free Free trial Three month free trial for new users new function Convert DRDS schema database to AUTO schema database new function One click data archiving

Product Selection Guide

Database ecology
Product architecture
Output form
Application scenarios
PolarDB MySQL
MySQL
Share storage, computing storage separation
Public Cloud, Private Cloud Enterprise Edition
Cloud native database in MySQL ecosystem
PolarDB PostgreSQL
PostgreSQL、Oracle
Share storage, computing storage separation
Public Cloud, Private Cloud Enterprise Edition, DBStack
Cloud native database in PostgreSQL ecosystem
PolarDB distributed version
MySQL
Share nothing, distributed
Public Cloud, Private Cloud Enterprise Edition, DBStack
Large scale data and ultra-high concurrent applications in MySQL ecosystem

Brand products

PolarDB MySQL
100% compatible with MySQL. The product has the features of multi active multi write, multi active disaster recovery and HTAP. The transaction performance can reach 6 times of the open source database, the analysis performance can reach 400 times of the open source database, and the TCO is 50% lower than the self built database.
PolarDB PostgreSQL
100% compatible with PostgreSQL and highly compatible with Oracle syntax. It provides users with fast, flexible, high-performance, massive storage, secure and reliable database services, and supports Alibaba Cloud's self-developed Ganos multi-dimensional and multi-mode spatio-temporal information engine and open source PostGIS geographic information engine.
PolarDB distributed version
PolarDB for Xscale ("PolarDB-X" for short) is a high-performance cloud native distributed database product independently designed and developed by Alibaba Cloud. It provides users with high throughput, large storage, low latency, easy expansion and ultra-high availability database services in the cloud era.

Product advantages

Inclusive, seamless and compatible with the original ecology
It is 100% compatible with MySQL and PostgreSQL ecosystems, and can be used without modifying the code. It provides a one click migration function from the highly available version of RDS MySQL to PolarDB, and the connection address remains unchanged. Highly compatible with Oracle syntax, ADAM tool helps you with Oracle migration throughout the life cycle, reducing the cost and cycle of Oracle migration to 1/10 of the original or even lower.
Massive storage, large-scale expansion
PolarDB MySQL and PostgreSQL versions support a maximum capacity of 100TB, and can scale up to 16 nodes horizontally. Each node can scale up to 88 vCPU. Serverless distributed storage space automatically scales according to the amount of data. PolarDB distributed version can support petabyte storage expansion.
High cost performance
Compared with traditional MySQL and PostgreSQL, PolarDB achieves a performance acceleration of more than 100 times. At the same time, multiple computing nodes share storage. When adding read-only nodes, you only need to pay for computing nodes, which greatly reduces the cost of capacity expansion. The storage space does not need to be configured manually. It automatically scales according to the amount of data, and only needs to pay for the capacity actually used.
High availability to ensure business is always online
In case of a single machine failure, the primary/standby switchover can be realized without data loss, and the problem of data inconsistency between the primary and standby nodes caused by asynchronous replication can be completely solved. In a few minutes, the read-only replica can be expanded, and data can be backed up and restored. Support diversified deployment and disaster recovery capabilities, such as three machine rooms in the same city, three places and five centers.

Product Functions

The cloud native database PolarDB is 100% compatible with MySQL and PostgreSQL, and supports distributed expansion. Users can select the appropriate version according to business needs.
Rich product versions, covering various scenarios
Enterprise Edition The Enterprise Edition is a database cluster type based on RDMA network interconnection computing and PolarStore storage. It supports more abundant Super MySQL capabilities, such as global consistency, three-tier decoupling, Smart SSD, and so on, through software and hardware combined technology. The rich product series and functions comprehensively cover multiple scenarios.
Standard edition The standard version is a new database cluster type launched by PolarDB. It uses Alibaba Cloud's new generation of high-performance low-cost ECS infrastructure. Users can enjoy the core capabilities of PolarDB at a lower cost. The database agent and computing node are deployed using independent ECS, and the shared storage layer uses the ESSD cloud disk, which greatly reduces the cost of using PolarDB.
Flexible billing mode to meet different cost requirements The calculation instance supports three forms: calculation package, pay as you go, and monthly package; Storage space supports pay as you go and monthly package (storage package)
Calculation package The calculation instance supports the pay as you go+calculation package payment mode. The calculation package is used to offset the pay as you go instance consumption. During the use period, the pay as you go instance can be flexibly upgraded and configured, without considering the price difference of the remaining prepaid time after the upgrade. The calculation package is not used for deduction, which is more flexible, easy to use, and cost-effective than the annual package and pay as you go.
Pay as you go Also known as post payment, it deducts fees from Alibaba Cloud accounts according to the calculation instance type or actual storage usage at the time of order generation. It is suitable for short-term/small amount of data needs. It can be flexibly configured during use, and the calculation instance can be released immediately after use.
Monthly guarantee It is also called prepaid, that is, pay when creating new computing instances and storage. It is suitable for long-term/large data demand, and the price is more affordable than pay as you go. The longer the computing instance is purchased, the larger the storage package is purchased, and the more discounts will be offered.
Multiple enterprise level capabilities covering various business needs Cluster minute level extended read/write capability; Automatic backup and one click recovery; Support global database, parallel query, fast DDL, etc
Elastic expansion and contraction It supports three-dimensional scalability, and the cluster configuration change takes effect at minute level: vertical expansion of computing capacity (cluster specification upgrade), horizontal expansion (adding or deleting read-only nodes, up to 16 computing nodes), and horizontal expansion of storage space (using Serverless architecture, the capacity automatically adjusts online with the change of data volume, and the maximum storage capacity of a single instance is 100TB).
Backup recovery It supports user-defined backup strategies and three backup types: first level backup is directly stored on the distributed storage cluster, and the backup and recovery data are fast; The second level backup refers to the backup data saved on other offline storage media after the first level backup is compressed, which is slow; Log backup refers to real-time parallel uploading of Redo logs to OSS. Full data backup of 1T database is less than 10 seconds; Recovery (by Backup Set only) is less than 10 minutes.
Global Database GDN The network consists of multiple PolarDB clusters distributed in multiple regions around the world. Through asynchronous replication mechanism, physical logs, parallel processing and other technologies, the data of clusters in the network is synchronized globally. Under the same configuration at both ends, the remote replication delay is less than 2 seconds. At the same time, clusters in GDN support cross regional read/write separation, nearby read and flexible configuration.
Parallel Query PolarDB MySQL 8.0 supports a parallel query framework. It partitions data into different threads on the storage layer. Multiple threads perform parallel computing and summarize the result pipeline to the total threads, greatly reducing the response time for complex SQL queries, report queries, etc. For example, for the 8.0 version 88 core 710GB, 100GB data cluster, the speed can be increased by up to 30 times after the master node enables parallel query.
Fast DDL It provides the DDL physical replication optimization function, and comprehensively optimizes the critical path for the primary node to write the physical log and the read-only node to apply the physical log, realizing seconds plus fields and parallel indexing. For example, it only takes 1 second to add fields for a cluster with 16 core 128GB and 1TB data in version 8.0; The speed of Pau Yin is 10 times faster than the same configuration of the open source MySQL version.
Column index The column store index function combined with the parallel vectorization execution engine for column data greatly improves the execution efficiency of complex queries. This enables PolarDB MySQL to achieve integrated real-time transaction processing and real-time data analysis, and become a one-stop HTAP database product solution. A set of database system can meet the OLTP and OLAP requirements of the business.
Rich O&M functions, greatly reducing O&M costs Alibaba Cloud database experts' years of database operation and maintenance experience are productized to effectively ensure the stability, security and efficiency of database services
One click diagnosis Support autonomic center, session management, real-time performance, spatial analysis, lock analysis, diagnostic report, performance insight and other functions, so that users can view the database related diagnostic and optimization results.
Monitoring alarm It provides a wealth of performance monitoring items and second level monitoring frequencies to help users timely understand and quickly handle monitoring data exceptions of PolarDB clusters or nodes.
SQL Insight Collect the full amount of SQL in the database in real time, provide a powerful analysis and query engine, help users find potential performance or security risks, and retain SQL logs for up to five years.
Slow SQL Slow SQL analysis function is provided to view slow log trends and statistics, and provide SQL suggestions and diagnostic analysis.
Automatic capacity expansion It supports setting the trigger threshold, expansion specification, and the upper limit of the number of read-only nodes for automatic capacity expansion. When the average CPU utilization is greater than or equal to the set value, automatic capacity expansion will be triggered.

Application scenarios

Education/live broadcast: high business flexibility
Finance/insurance: high availability and strong read-write consistency
Game: High concurrency in global deployment
Transportation and logistics: 10000 levels of concurrency per second
E-commerce retail
General: mass data storage
General: HTAP analysis acceleration
Minute level flexible lifting configuration, rapid response to business peak
The business in the education and live broadcast scenarios has obvious peak peak valley characteristics. The business volume of students' extracurricular time, Double 11 and other promotional activities is several times of the daily situation. The business system needs to be upgraded before and after the promotion. PolarDB supports the minute elastic upgrade capability, which solves the problem that the upgrade time of traditional databases will increase with the size of storage and the host resources.
Capable of providing
Elastic expansion
PolarDB cluster version supports minute level upgrade, which can be expanded to 16 nodes at most, and has the ability to quickly upgrade IOPS.
Surge performance
PolarDB cluster version provides excellent data writing ability in high concurrency state through improving the engine's ability to optimize IOPS, and easily cope with business peaks.
Strong consistency
Physical replication is used between the master node and the read node of PolarDB cluster, which greatly reduces the delay between the read node and the master node, and meets the consistent reading requirements of buyers and sellers in e-commerce scenarios.
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Strong consistency assurance of data, meeting financial reliability requirements
In the financial scenario, the business requires high availability and strong consistency. PolarDB adopts an architecture that separates storage and computing, supports second level fault recovery, global data consistency, data backup and disaster tolerance, and fully meets the financial level compliance reliability requirements.
Capable of providing
High availability and global database network
Multi zone architecture, with data backup in multiple zones, provides disaster recovery and backup for databases. The GDN global database network function enables remote disaster recovery of data. Cross regional instances can be read and written at the same time, and the business can be directly expanded from local deployment to remote deployment without modifying the code.
High security
All aspects of database data access, storage, management, etc. are guaranteed by means of white list, VPC network, data multi copy storage, etc.
uniformity
The cluster version adopts the design of shared distributed storage, which completely solves the problem of non strong consistency of standby database data caused by master slave asynchronous replication.
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ECS
Provide high read and write performance and support global business deployment
In the game scenario, it is often necessary to open and cooperate services. At the peak of business, it may be necessary to support the high concurrent pressure of millions of players online at the same time, and it is more likely to ensure business growth for overseas deployment. PolarDB provides low latency, high stability and high performance cloud services to meet the needs of game business.
Capable of providing
Good game experience
PolarDB cluster version provides high-performance read-write capability, which is convenient for new service launch and application elastic expansion. It can greatly reduce maintenance time in scenarios such as game version release, server restart, etc.
Global deployment
PolarDB cluster version supports the global database GDN function, helping the game business to deploy easily.
Highly reliable service
The data is stored with three copies consistency, which ensures the reliability of the data. It is compatible with various ecological and middleware open source tools of MySQL, which is very convenient for the development of game history, game recharge and operation activities.
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High concurrency of online business, easy to solve
For example, in the urban public transport scenario, involving a large number of vehicles and models, and a variety of billing methods, the database system is required not only to have the capacity of massive storage, but also to meet the capacity of complex query and calculation. Based on the PolarDB distributed version, massive data is stored and analyzed through AnalyticDB, which can build an intelligent urban public transport system to meet the needs of route planning, station query, public transport forecast, business report settlement, public transport dispatching, etc., and improve the operation efficiency and service level.
Capable of providing
Elastic expansion
PolarDB distributed version adopts a layered architecture to ensure linear expansion in concurrency, computing and data storage. PolarDB distributed version can be flexibly configured according to the characteristics of business tide to meet business needs.
Ready to use
The PolarDB based distributed version can easily upgrade from a stand-alone database to a distributed architecture, while providing rich operation and maintenance functions. Compared with the self built distributed architecture, the R&D cost is significantly reduced.
Ecological compatibility
It is highly compatible with MySQL, opens up the big data ecology, and realizes real-time analysis of massive data by synchronizing data to the cloud native data warehouse, AnalyticDB, to help business intelligence.
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Steady response to excessive data volume of single table and business tide
In the e-commerce industry, for example, large-scale promotions and instant kill scenarios have great pressure on the overall access to the system. The PolarDB distributed version has been tested by Tmall's Double 11 and Alibaba Cloud's customer services in various industries, and can effectively solve the bottleneck of high concurrent update performance of hot data and help businesses run stably.
Capable of providing
Business isolation
Through the vertical splitting of PolarDB distributed version, various business centers can be split, so that different types of business data can be stored on different RDS, ensuring resource and access isolation, and making the entire database architecture physically extensible.
High concurrency
The smooth capacity expansion and elastic configuration increase and decrease of PolarDB distributed version can enable the computing and storage capacity of the business system to bounce up to several times of the current capacity in a short time, and calmly and quickly respond to sudden business traffic.
Mature and stable
After the "Double 11" peak traffic test from all walks of life, it can carry up to 10 million concurrent scale and 100 PB of massive data.
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Massive storage, supporting hundreds of terabytes of data
The development of business is accompanied by the rapid growth of historical data, and the single database can reach the TB level. In this case, the storage and performance of traditional databases have encountered bottlenecks. PolarDB adopts a storage and separation architecture, with a single instance of up to 100TB of storage. Nodes support vertical expansion (upgrade/downgrade nodes) and horizontal expansion (increase/decrease read-only nodes), so as to quickly respond to business growth.
Capable of providing
History Library
The historical database version is provided. Compared with the PolarDB cluster version, it can save up to 70% of the storage space, and the maximum storage space is 200TB. The query/write performance degradation does not exceed 10%, meeting the historical data storage requirements of large capacity, low cost, and weak read/write.
Fast elasticity
The storage and calculation separation architecture is adopted, which enables the CPU and memory of the database server to expand rapidly, and it only takes a few minutes to complete the cluster configuration upgrade.
No lock backup
Using the snapshot technology of the underlying distributed storage, the backup of the database with the size of terabytes of data can be completed in minutes, and the entire backup process does not require locking, which is highly efficient and has little impact.
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Massive data, fast query
PolarDB adopts a computing and storage separation architecture, which supports the rapid expansion of the CPU and memory of the database server. It can add up to 15 read-only nodes as soon as possible. It supports parallel queries, read-write separation and other functions, reducing the query time exponentially, and solving the needs of light analysis businesses such as queries with large amount of computation, multi table connection queries, and daily report queries.
Capable of providing
Parallel Query
PolarDB MySQL 8.0 has launched a parallel query framework, which splits data into different threads on the storage layer. Multiple threads perform parallel computing, summarize the result pipeline to the total thread, and finally the total thread does some simple merging and returns to the user to improve the query efficiency.
Read write separation
A maximum of 15 read-only nodes can be added. The transaction splitting function can be enabled through the console to route some queries in the transaction to read-only nodes and improve the query speed.
Resource isolation
The PolarDB MySQL engine can set multiple connection addresses Endpoints to connect to different nodes for different services. It is generally used to isolate OLAP loads and avoid impact on online services.
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Customer Stories

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    Through the PolarDB multi master cluster, HTAP and transparent cold and hot data layering scheme, the SaaS database architecture has been upgraded, and a series of database pain points have been solved, such as the difficulty in maintaining single instance massive tables encountered by e-warehouse cross-border SaaS, inefficient tenant resource allocation and utilization, large data volume, high storage cost, high cost of database instance multi data integration, poor performance of multi-dimensional statistical analysis of stores and commodities, etc. It not only greatly improves the efficiency and utilization of database resource allocation, but also realizes continuous cost reduction and efficiency increase.
    Yicang Technology

    Product Dynamics

    2020-04-02 Price adjustment
    PolarDB storage package is greatly reduced in price, sharing technology upgrade dividends
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    2020-04-10 New Region/New Availability Zone
    PolarDB officially opened in Southwest 1 (Chengdu)
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    New region/new zone on April 13, 2020
    PolarDB added East China 1 (Hangzhou) zone H
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    2020-04-14 New Features/Specifications
    PolarDB MySQL 8.0 supports transparent data encryption (TDE) to improve data security protection
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    2020-04-14 New Features/Specifications
    PolarDB MySQL supports binding a private address (domain name), and users can go to the cloud or migrate without changing the database address (domain name)
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    New region/new zone on April 30, 2020
    PolarDB officially opened in Japan (Tokyo)
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    2020-05-12 New Features/Specifications
    New upgrade of PolarDB backup function
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    2020-05-12 Price adjustment
    PolarDB backup starts charging
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    2020-06-02 Function optimization
    The availability SLA commitment of cloud native database PolarDB has been raised from 99.95% to 99.99%
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    2020-06-10 New Features/Specifications
    The cloud native database PolarDB now supports migration from RDS MySQL with the original address reserved (the application does not change the connection configuration)
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    2020-07-01 New functions/specifications
    PolarDB global database supports global read/write separation (write requests are forwarded across regions)
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    2020-07-10 Function optimization
    After migrating from RDS to PolarDB, you can apply for an irresponsible refund
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    2020-07-15 Price adjustment
    The PolarDB financial cloud has significantly adjusted its price to let insurance and financial customers benefit!
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    2020-07-28 New Features/Specifications
    PolarDB MySQL supports adding multiple read-only nodes at one time
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    2020-07-28 New Features/Specifications
    PolarDB MySQL version 5.7 goes online for public beta
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    2020-07-29 New Features/Specifications
    PolarDB MySQL supports case sensitive table names
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    2020-07-29 New Features/Specifications
    PolarDB MySQL supports time zone settings
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    2020-07-29 Function optimization
    PolarDB supports setting data protection policies when deleting clusters when creating new clusters
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    2020-08-06 New Region/New Availability Zone
    PolarDB MySQL adds Japanese zone B
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    2020-08-06 New Region/New Availability Zone
    PolarDB MySQL adds Shenzhen zone D
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    2020-08-06 New Region/New Availability Zone
    PolarDB MySQL financial cloud adds Shenzhen region (zone D and zone E)
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    2020-08-15 New Region/New Availability Zone
    PolarDB MySQL officially launched in the UK (London)
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    2020-08-21 New Region/New Availability Zone
    PolarDB MySQL officially launched in Australia (Sydney)
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    2020-08-21 New Region/New Availability Zone
    PolarDB MySQL officially launched in North China 1 (Qingdao)
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    2020-08-21 New Features/Specifications
    PolarDB Commercially Releases MySQL 5.7 Fully Compatible Version
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    2020-09-25 New Features/Specifications
    PolarDB MySQL supports new 64 core 512G
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    2020-09-25 New Features/Specifications
    PolarDB recently launched the payment type of computing package
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    2020-09-25 New Features/Specifications
    PolarDB recently launched a single node inclusive version with ultra-high cost performance ratio
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    2020-10-14 New Features/Specifications
    The RDS purchase page supports the selection of PolarDB inclusive version
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    2020-10-27 New Features/Specifications
    The new version 8.0.2 of PolarDB MySQL (fully compatible with MySQL 8.0.18) has been officially launched
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    2020-11-27 New Features/Specifications
    PolarDB storage package newly supports database backup (deductible level 1 backup)
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    2020-12-01 New Features/Specifications
    PolarDB MySQL 5.6 releases some new database (table) recovery functions
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    2020-12-01 New Features/Specifications
    PolarDB MySQL 5.6 Launches Data Transparent Encryption (TDE)
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    2020-12-02 New Features/Specifications
    PolarDB MySQL history database (high compression ratio, used to store historical archive data), public beta release
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    2020-12-03 Function optimization
    PolarDB console supports task progress bar (you can view the progress of backup recovery and other operations)
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    2020-12-09 New Features/Specifications
    PolarDB MySQL 8.0 releases new version 8.0.1.1.8
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    2020-12-24 New Features/Specifications
    PolarDB MySQL increases the maximum storage capacity of some specifications
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    2021-01-04 New functions/specifications
    PolarDB storage package (Storage Plan) of international station supports capacity expansion and upgrade function
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    2021-01-12 New Features/Specifications
    PolarDB supports scheduled upgrade
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    2021-01-12 New Features/Specifications
    PolarDB MySQL 8.0 releases new version 8.0.1.1.10
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    2021-01-13 New products
    PolarDB history database officially launched for commercial use
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    2021-02-09 New Features/Specifications
    The new version 5.7.1.0.6 of PolarDB MySQL is released online, and supports second level field addition and "second kill" scenario optimization
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    2021-02-09 Function optimization
    PolarDB greatly improves data recovery speed through technological innovation
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    2021-03-09 New Features/Specifications
    PolarDB MySQL New Support Parameter Template
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    2021-03-09 Function optimization
    PolarDB supports high-frequency backup, which can improve data recovery speed
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    2021-05-28 New Features/Specifications
    SSL configuration supports automatic rotation of SSL certificates
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    2021-06-15 New Features/Specifications
    TDE encryption supports automatic encryption of new tables
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    2021-07-02 New Features/Specifications
    Newly added database table recovery function in MySQL 5.7
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    2021-08-06 New Features/Specifications
    Add planned event function
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    2021-11-05 New Features/Specifications
    Automatic configuration change is supported for yearly/monthly cluster
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    2021-11-11 New Features/Specifications
    Add flashback query function
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    2021-12-01 New Features/Specifications
    New cluster version of history library
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    2022-01-14 Function optimization
    Support hot line optimization function
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    2022-02-11 New Features/Specifications
    New primary cluster (database table)
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    2022-03-23 New Features/Specifications
    Support automatic configuration change of local resources (second level core expansion)
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    2022-04-13 New Features/Specifications
    New hot standby switching function
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    2022-04-22 New Features/Specifications
    The main node and read-only node can be configured separately
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    2022-05-27 New Features/Specifications
    New column storage index feature
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    2022-06-13 New Features/Specifications
    New SQL firewall function
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    2022-06-17 New Features/Specifications
    New cross region backup function
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    2022-07-08 New Features/Specifications
    New PolarDB for AI function
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    2022-07-27 New Features/Specifications
    New flexible multi machine parallel (ePQ) engine
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    2022-08-03 New Features/Specifications
    Add strict consistency cluster SCC function
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    2022-08-11 New Features/Specifications
    PolarDB PostgreSQL adds pg_bigm plug-in
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    2022-09-26 New Features/Specifications
    Add global IP white list
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    2022-10-17 New Features/Specifications
    New PolarDB large version upgrade function
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    2022-10-17 New Features/Specifications
    Compatible with PostgreSQL version 14, officially launched
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    2022-10-27 New Features/Specifications
    PolarDB PostgreSQL adds real-time materialized view function
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    2022-11-01 New Features/Specifications
    PolarDB PostgreSQL: new smlar plug-in
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    2022-11-03 New Features/Specifications
    PolarDB PostgreSQL Version New Hypopg Plug in
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    2022-11-05 New Features/Specifications
    PolarDB PostgreSQL adds hll plug-ins
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    2022-11-08 New Features/Specifications
    PolarDB PostgreSQL adds varbitx plug-in
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    2022-11-08 New Features/Specifications
    PolarDB PostgreSQL added wal2json plug-in
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    2022-11-09 New Features/Specifications
    PolarDB PostgreSQL adds pg_sphere plug-in
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    2022-11-10 New Features/Specifications
    PolarDB PostgreSQL Version New ZomboDB Plug in
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    2022-11-16 New Features/Specifications
    PolarDB PostgreSQL Version New Global RelCache
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    2022-11-18 New Features/Specifications
    Add a global read-only node
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    2022-11-20 New Features/Specifications
    New cluster protection lock function
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    2022-12-09 New Features/Specifications
    New pg_tap plug-in for PolarDB PostgreSQL
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    2022-12-16 New Features/Specifications
    PolarDB PostgreSQL adds oss_fdw plug-in
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    2022-12-24 New Features/Specifications
    New Serverless cluster
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    2023-01-10 New Features/Specifications
    New connection diagnosis function
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    2023-01-31 New Features/Specifications
    New use of the DBS logical backup function
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    2023-02-03 New Features/Specifications
    New Standard Version
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    2023-02-06 New Features/Specifications
    New function of starting high compression engine (X-Engine)
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    2023-04-14 New Features/Specifications
    Add serverless function of fixed cluster
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    2023-05-26 New Features/Specifications
    PolarDB MySQL Standard Edition adds the Sky Reliant ARM architecture
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    2023-07-28 Price adjustment
    PolarDB MySQL supports new SQL insight and audit
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    2023-07-30 New Features/Specifications
    PolarDB-PG supports standard version
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    2023-08-02 New Features/Specifications
    PolarDB MySQL supports automatic switchover across zones in semi synchronous mode
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    2023-08-11 New Features/Specifications
    NL2SQL AI model official public test
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    2023-08-17 Price adjustment
    New deduction items of PolarDB storage package
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    2023-08-17 Function optimization
    PolarDB price calculator and resource package calculator go online
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    2023-08-22 New Features/Specifications
    New 1-core 1GB and 1-core 2GB entry specifications
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    2023-08-31 New Features/Specifications
    Standard storage supports automatic expansion
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    2023-08-31 New Features/Specifications
    Large version upgrade provides intelligent pressure measurement function
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    2023-09-08 New Features/Specifications
    Serverless resource package goes online
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    2023-09-15 New Features/Specifications
    Synchronize data to AnalyticDB MySQL through federated analysis
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    2023-10-01 New Features/Specifications
    PolarDB for AI NL2SQL officially commercialized
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    2023-11-24 New Features/Specifications
    Support downloading backup files
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    View all logs

    Open source version

    Open source PolarDB distributed version
    Co build cloud native distributed database ecosystem
    Open source PolarDB PostgreSQL
    Co build cloud native relational database ecosystem