Table Store provides the following advantages:
Dynamic adjustment of reserved read/write throughput
When creating a table, you can configure the reserved read/write throughput for an application based on the business access conditions. Table Store schedules and reserves resources based on the table’s reserved read/write throughput, to minimize the resource usage costs. While using it, Table Store can dynamically adjust the table’s reserved read/write throughput based on the application situation.
There is no limit to the amount of data stored in the tables of Table Store. As the size of a table increases, Table Store will adjust the data partitions, allocating more storage space to the table.
Table Store stores multiple data copies on different servers in different racks. When a backup fails, it is quickly restored. Table Store thereby provides excellent data reliability.
Through the automatic failure detection and data migration, Table Store shields applications from machine and network-related hardware faults to deliver high availability.
Ease of management
Applications do not require tedious and complex operation and maintenance tasks, such as the management of data partitions, software/hardware upgrades, configuration updates and cluster resizing.
Table Store performs identity authentication for each application request to prevent unauthorized data access and ensure data access security.
Table Store ensures high consistency of writing data. Once a successful result is returned for a write operation, applications can read the latest data.
Flexible data models
Table Store tables do not require a fixed format. The column numbers of each row can be different. The value types in the columns with the same name of different rows can also be different. Table Store supports multiple data types, such as Integer, Boolean, Double, String, and Binary.
Table Store charges fees based on the actual resources you have reserved and used.
You can log on to the Table Store console and obtain the real-time monitoring information including the requests number per second and the average response latency.