ApsaraDB for Redis Enhanced Edition (Tair) is a cloud-based in-memory database service for enterprises. It is developed based on the Tair service of Alibaba Group. ApsaraDB for Redis Enhanced Edition (Tair) has officially been in use within Alibaba Group since 2009 and has proven its outstanding performance in a variety of scenarios, including Double 11, Youku Spring Festival Gala, Cainiao, and AMAP.
Storage types
The rapid development of the Internet makes business scenarios more diverse and complex. To meet the changing requirements, ApsaraDB for Redis Enhanced Edition (Tair), as a high-availability and high-performance NoSQL database service, provides multiple series types of instances based on storage mediums such as DRAM, NVM, and ESSDs. These series types are developed to meet your requirements for low-latency access, data persistence, and reduced overall costs, and provide higher performance, more data structures, and more flexible storage methods. This helps you meet business requirements in different scenarios.
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Purchase guide
Series type | Checkout link | Procedure |
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Millstones of Tair
In 2004, Taobao started to use caching technologies to support its business operations. The first caching technology that was put into use is frontend page caching. This technology uses Edge Side Includes (ESI) to identify web content segments that can or cannot be accelerated. Frontend page caching reduces the number of times that entire pages are fetched from the server.
The rapid growth of customer traffic on Taobao exerted more pressure on databases. Backend caching emerged in response to this situation. Backend caching has evolved over many iterations from TBStore to Taobao Database Manager (TDBM). TBStore provides services such as persisting Taobao details and verification codes. TDBM was initially used in Taobao User Center. In 2009, the large-scale and high-performance in-memory database service Tair was released based on the success of previous systems and technical experience.
Tair is one of the most popular systems of Alibaba Group. Tair can handle hundreds of millions of calls per second and has provided core online access acceleration during Double 11 events for many years.
Date | Event |
July 2024 | Redis 7.0-compatible DRAM-based instances were released with comparable performance to Redis 6.0-compatible DRAM-based instances. |
October 2022 | Redis 6.0-compatible DRAM-based instances were available with a 20% performance improvement than Redis 5.0-compatible DRAM-based instances that have the same specifications. |
July 2021 | The following new series types were released:
Tair will focus on core cloud-native capabilities, such as hardware-software integration, intelligent data distribution, and integration of data storage and computing. |
November 2019 | Tair 3.0 or ApsaraDB for Redis Enhanced Edition (Tair) was released.
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April 2019 | The Tair team was recognized as one of the top three contributors in the Redis community and delivered a public speech at RedisConf 2019. |
August 2018 | Tair took the lead in introducing hybrid-storage instances in China to separate cold data from hot data for the first time and reduce costs. |
November 2017 | Tair dynamic hashing provided support for the 2017 Double 11 event and was able to resolve several critical cache issues within the industry. |
April 2017 | Tair 2.0 was released and started to provide services to the new business units AMAP and Youku. ApsaraDB for Memcache (OCS) was upgraded to ApsaraDB for Redis. |
August 2016 | Tair Smart O&M Platform was released. The release of this platform contributed to the breakthrough of hundreds of billions of sales during the 2016 Double 11 event. |
March 2015 | The Tair team released ApsaraDB for Redis. This release helped Tair enter the cloud era. |
May 2014 | The Tair team released OCS, a cloud-based caching service. After OCS was released, OCS became a basic service of Alibaba Cloud and started to provide services for OCS users. |
April 2013 | The Fastdump service was released. It can significantly reduce import time and access latency. Tair was implemented on a large scale in Alimama. |
October 2012 | The Redis Database (RDB) cache engine was released with APIs that are similar to those used in open source Redis. This engine supports more flexible and complex data structures. |
June 2011 | The Local Database (LDB) persistence engine was released to meet key-value storage requirements in the Internet industry. |
November 2009 | Tair was used to support the high-volume concurrent traffic during the Double 11 event for the first time. |
April 2009 | Tair 1.0 was released and used in business segments such as the Taobao core system, Memory-Mapped Database (MDB) cache, and User Center. |