This document provides a variety of typical case studies for Table Store, helping you get more insight of Table Store.

Big data storage and analysis

Table Store provides low-cost, low-latency, and high-concurrency storage and online access of high volumes of data. In addition, Table Store provides incremental and full data tunnels, and also SQL direct read and write on big data analysis platforms, such as MaxCompute. An efficient incremental streaming read interface is provided for easy computing of real-time data streams.



Social feed stream storage

Table Store can store high volumes of social information produced by interactions between people, including instant messaging (IM) chats, comments, and threads. The elastic resources stored in Table Store are billed in Pay-As-You-Go method. At a very competitive cost, Table Store can meet the needs of applications that feature significant traffic fluctuations and high concurrency when low latency is required. Table Store stores images and videos on OSS and, with CDN acceleration, provides an optimal user experience.



Financial risk control

The advantages of Table Store such as low latency, high concurrency, and Pay-As-You-Go billing of elastic resources combine to optimize the financial risk control system, allowing you to strictly limit transaction risks. Flexible data structures enable fast iteration of business models as market needs shift.



IoV data storage

A single table can store petabytes of data without distributing data in separate databases and tables, which simplifies the business 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 ease of real-time online query and business report analysis.



IoT time series data storage

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 of offline data analysis and real-time streaming computing.



E-commerce recommendation

Table Store makes it possible for you to deal with data volumes and access performance with ease when handling a large number of historical transaction orders. Combined with MaxCompute, Table Store enables precision marketing, elastic resource storage, and Pay-As-You-Go billing. Table Store allows you to easily manage peak hours when a large majority of customers go online.