Features

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  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.

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  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

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  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

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  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

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  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