Table Store

Features

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  Powerful and flexible security

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    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

    Providing a user-level resource isolation mechanism

    
    
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  Convenient and flexible use

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    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 Table Store HBase Client supports HBase services

    
    
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  Distributed architecture and big data models

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    Utilizing a distributed architecture, automated server load balancer and hot-spot migration mechanisms, Table Store 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

    
    
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  Complete big data computing system

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    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 Table Store 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

    
    
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  Advanced functions simplify the application architecture

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    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