Overview

Tablestore is a distributed NoSQL data storage service built on Alibaba Cloud's Apsara distributed computing system, which comes with 99.99% high availability and 99.999999999% data reliability. Tablestore enables seamless expansion of data size and access concurrency through data sharding and server load balancer technologies, providing storage of and real-time access to massive structured data.

Benefits

High Reliability Three copies of data with high consistency, full host, service high availability and data high reliability. Low-cost Elastic resources, Pay-As-You-Go billing, and O&M with no additional costs. Highly Elastic Distributed architecture, single table auto scaling, support of 10-PB-level data and 10-million-level access concurrency. Easy to Analyze Provides full/incremental data tunnels, seamlessly interconnecting with various products for big data analysis and real-time stream computing.

Features

Powerful and flexible security

Multi-dimensional and multi-level security protection and resource access management to ensure data security Provides table-level and API-level authentication and authorization mechanisms, supports STS temporary authorization, custom permission authentication, and primary/sub accounts Flexible authentication and authorization mechanisms Multi-network support Supports Internet, ECS Intranet, and VPC private network accessing, and provides network resource access management Resource isolation There is a system to separate access to resources by user level.

Convenient and flexible use

Provides standard RESTful APIs and multilingual SDKs and supports multi-version data and TTL features Flexible access Provides standard RESTful APIs, a wide range of SDKs and client tools Flexible use With a sparse table structure, the number and types of columns in each row can be different from each other and attribute columns do not need to be pre-defined Data management Supports TTL management and multi-version management Convenient use The product console provides instance/table-level monitoring data access (QPS, latency, and number of requests) HBase support The official Tablestore HBase Client supports HBase services

Distributed architecture and big data models

Utilizing a distributed architecture, automated server load balancer and hot-spot migration mechanisms, Tablestore provides unlimited data storage and access concurrency Large scale 10-PB-level data volume for a single table, trillion records and a capacity of 10-million-level TPS O&M free Automated server load balancer and hot-spot migration, without the need for manual intervention Effective storage engine High-throughput write capacity and stable and predictable read/write performances based on shared storage High security Three copies of data ensure high consistency, which is designed based on a standard of 99.999999999% data reliability High availability A shared storage architecture ensures fast detection and fast recovery of single point of failure, which is designed based on a standard with 99.99% availability

Complete big data computing system

Supporting various big data computing platforms and real-time stream computing and provides powerful data analysis capacity Combination of storage and computing Implement a data loop of online storage, offline computing and real-time analytics Big data ecosystem Supports MaxCompute direct read/write and access from various open-source components such as EMR Hadoop, Spark, Hive, and Flink Real-time computing Supports Alibaba Cloud StreamCompute and Function Compute, which perform real-time computing for Tablestore incremental data Data tunnel Supports Alibaba Cloud Data Integration and full/incremental data tunnels Multi-industry solutions Solutions for social IM, gaming, finance, IoT and logistics

Advanced functions simplify the application architecture

Provides various features such as PK auto-incrementing column and streaming read PK auto-incrementing column Solves problems with high concurrency in social IM and feed streams Effective streaming read interface Handles high concurrent reading and storage of massive data, and supports real-time computing of incremental data