Background information

ApsaraDB for HBase Performance-enhanced Edition is a cloud-based database service that is developed based on LindormTable and is fully compatible with Apache HBase. Since 2011, ApsaraDB for HBase Performance-enhanced Edition has been used to store large amounts of data in real time for multiple core business applications within Alibaba Group, such as Taobao, Alipay, Cainiao, Youku, and AMAP. ApsaraDB for HBase Performance-enhanced Edition meets the business requirements for various scenarios, such as traffic spikes during the Double 11 Shopping Festival, the Spring Festival, and the Chinese National Day. Compared with Apache HBase Community Edition, ApsaraDB for HBase Performance-enhanced Edition provides higher performance and more features, including enterprise-grade features. ApsaraDB for HBase Performance-enhanced Edition is also more cost-effective, stable, secure, and easy to use.

ApsaraDB for HBase Performance-enhanced Edition is suitable for scenarios that have high requirements for size, throughput, performance, and availability. ApsaraDB for HBase Performance-enhanced Edition features seamless scalability, high throughput, high availability, milliseconds of latency, adjustable consistency levels, and cost-effectiveness, and provides various types of indexes to support real-time data storage and retrieval. ApsaraDB for HBase Performance-enhanced Edition can be used to meet the requirements of big data services that require unlimited scalability and high throughput, online services that require low latency and high availability, and multi-functional queries.

Relationship with Lindorm

Lindorm is a multi-model database service that is developed by Alibaba Cloud. The kernel of ApsaraDB for HBase Performance-enhanced Edition is provided by LindormTable. If you want to use more new features, we recommend that you use Lindorm.

History of Lindorm

Date Event
2011.3 Lindorm 1.0 is developed based on Apache HBase and released on Taobao. Lindorm 1.0 is used in Data Cube and log queue scenarios.
2012.3 Lindorm can be used to process up to 100 TB of data and 100,000 requests per second (RPS).
2013.5 Lindorm supports large clusters and provides multitenancy services.
2014.1 The SQL feature is released, which is compatible with Phoenix.
2015.11 The high availability architecture is implemented and the peak RPS exceeds 50 million.
2016.11 The number of servers reaches 10,000. Lindorm serves as a mid-end platform for services within Alibaba Group, including AMAP, Youku, and other entertainment services.
2017.8 Apache HBase Community Edition is commercialized on Alibaba Cloud and starts to provide services to enterprises.
2018.7 Lindorm 2.0 is released. Lindorm 2.0 uses an optimized engine that provides seven times the performance of Apache HBase.
2019.8 ApsaraDB for HBase Performance-enhanced Edition (Lindorm) is commercialized and provides multiple exclusive features for storage, indexing, and disaster recovery.
2020.06 The latest version of Lindorm is released. Lindorm is a cloud native multi-model database service that supports four types of models: wide table, time series, search, and file.

Features

ApsaraDB for HBase Performance-enhanced Edition uses a kernel that is developed based on LindormTable. ApsaraDB for HBase Performance-enhanced Edition is a NoSQL service for big data, and is fully compatible with Apache HBase. ApsaraDB for HBase Performance-enhanced Edition is cost-effective, highly scalable, and intelligent. You can use the service to store semi-structured data and unstructured data. Lindorm is one of the most fundamental storage services in Alibaba Group. The outstanding performance of Lindorm in storing large amounts of data has been tested by the Double 11 Shopping Festival in the past years. Lindorm can store hundreds of petabytes of data, process hundreds of millions of requests per second, and provide a high throughput that supports tens of trillions of operations per day.

Compared with Apache HBase, ApsaraDB for HBase Performance-enhanced Edition provides more enterprise-grade features.