Table Store

A fully managed NoSQL cloud database service that enables storage of a massive amount of structured and semi-structured data.

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Table Store is a distributed NoSQL data storage service built on Alibaba Cloud's ApsaraDB distributed computing system, which comes with 99.99% high availability and 99.999999999% data reliability. Table Store 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.


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Benefits

High Reliability
Three copies of data with high consistency, full host, service high availability and data high reliability.
Low-cost
Multiple backups for data redundancy Minimum guaranteed service availability of 99.9%
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

Common Scenarios

Massive Data Storage & Analysis

A loop of storage and processing of massive data and online services

Table Store provides low-cost, low-latency, and high-concurrency storage and online access of massive data, as well as incremental and full data tunnels, with support for SQL direct read and write on MaxCompute and other big data analysis platforms. Effective incremental streaming read interface allows easy real-time stream computing of data.

Advantages

Large-scale

10-PB-level data volume for a single table, trillion records and a capacity of 10-million-level TPS

Computing Integration

Supporting various big data computing platforms, stream computing and real-time computing services

Low-cost

High-availability massive message storage and multi-terminal message synchronizationElastic Pay-As-You-Go resources provide instances with two specifications, high performance and high capacity, meeting the needs of different services

Integrations and Configurations

Social Feed Stream

Storage of massive messages with high availability, high concurrency and stable latency

Table Store can be used to store IM messages and social feed stream information such as comments, follow-up posts and likes. The elastic resources stored in Table Store are billed under the Pay-As-You-Go model and at a relatively low cost Table Store can meet the needs of applications that feature significant traffic fluctuations and high concurrency while requiring low latency.

Advantages

Simplifying High Concurrency Architecture

A single table containing trillion records easily stores full history transaction recordsBuilt-in PK auto-incrementing column simplifies external system dependencies

Stable Performance

A design standard with 99.999999999% data reliability and three copies of the data ensures data securityThe average read/write performance for high performance instance is less than 10 ms/instance, which is not affected by data size

Massive Message Storage

High-availability massive message storage, and multi-terminal message synchronization

Integrations

Financial Transactions and Risk Control

Storage and real-time query of massive transaction records and user models

The low latency, high concurrency, elastic resources and Pay-As-You-Go billing method of this service enables your risk control system to always operate in optimal conditions, allowing you to strictly control transaction risks. Meanwhile, the flexible data structure allows your business model to rapidly evolve to meet market demands.

Advantages

Scalability

A single table containing trillion records easily stores full history transaction records

Reliability

A design standard with 99.999999999% data reliability, and three copies of data ensure the data security

Flexible Usage

Schemafree model and attribute column fields (which are added as needed) for rapid service development

Integrations and Configurations

IoV Data Storage

Massive, efficient and flexible IoV data storage

A single table can store petabytes of data without distributing data in separate databases and tables, which simplifies the service logic. The schema-free data model enables easy access to the monitoring data of different vehicle-mounted devices. Table Store can be seamlessly integrated with multiple big data analysis platforms and real-time computing services for fast real-time online query and service report analysis.

Advantages

Data Scale

Features high performance, high reliability, and high availability.

Stable Performance

The query performance of vehicle conditions and tracks is stable and predictable

Flexible Use

The schema-free data model enables easy access to the monitoring data of different vehicle-mounted devices

IoT Time Series Data

Massive data storage and effective query and Analysis

With a single table capable of storing petabytes of data and processing thousands of queries per second (QPS), Table Store makes it easy to store the time series data of IoT devices and monitoring systems. The big data analysis SQL direct read function and the efficient incremental streaming read interface provide an easy way for offline data analysis and real-time stream computing.

Advantages

Data Scale

A single table can store tens of petabytes of data, meeting the needs of data write and storage of ultra large-scale IoT devices and monitoring systems

Data Analysis

Through interconnecting with multiple offline, stream data analysis platforms, a piece of data can satisfy analysis and computing scenarios for different services

Low-cost

Pay-As-You-Go, low cost, and support for TTL management

E-commerce Orders and Ad Recommendations

Database for massive transaction orders and user recommendations

Using Table Store for a large number of historical transaction orders makes it possible for you to deal with high data volume and access performance with ease. Combined with MaxCompute, Table Store enables precision marketing, elastic resource storage, and Pay-As-You-Go billing, so that you can easily cope with peak hours when all your users are online.

Advantages

Flexible Resources

Auto scaling of data size and access concurrency meets the needs of access during peaks and valleys

Computing Integration

Supports various big data analysis platforms for direct user analytics

Fast Query

Fast query of massive transaction orders

Integrations and Configurations

Upgraded Support For You

1 on 1 Presale Consultation, 24/7 Technical Support, Faster Response, and More Tickets.

1 on 1 Presale Consultation

Consulting by experienced cloud experts. Learn More

24/7 Technical Support

Extended service time from 10 hours 5 days a week to 24/7. Learn More

6 Free Tickets per Quarter

The number of free tickets doubled from 3 to 6 per quarter. Learn More

Faster Response

Shorten after-sale response time from 36 hours to 18 hours. Learn More