Tablestore is a fully managed, distributed storage service featuring a serverless architecture. This eliminates the operational burden of provisioning, maintaining, and scaling hardware. As a result, you can focus on your application's business logic while Tablestore automatically scales to match your workload demands.
Zero O&M and fully managed
Out-of-the-box: You can create an instance and a data table to use the service immediately. This eliminates the need to purchase servers or provision storage space.
Automatic O&M: The cloud platform automatically handles O&M tasks, such as software and hardware upgrades, fault migration, and data backups. This reduces O&M costs and technical barriers.
Elastic scaling
On-demand elasticity: Compute and storage resources are decoupled. The system automatically scales in seconds based on real-time throughput and storage requirements.
Handles traffic bursts: Tablestore automatically handles traffic bursts during peak business hours. This prevents performance bottlenecks caused by insufficient capacity estimates and avoids idle resources that result from excessive estimates.
Massive scale support
Tablestore uses a distributed architecture and is highly extensible to support large-scale business applications:
Storage capacity: A single table supports up to 10 PB of data storage.
Data scale: Supports trillions of rows of scalar data and tens of billions of vectors.
Concurrent performance: Supports tens of millions of transactions per second (TPS) to meet the needs of high-concurrency applications.
Pay-as-you-go
Tablestore uses a pay-as-you-go billing model. You pay only for the storage capacity and read/write throughput that you use, which eliminates costs from idle resources. If you have stable service traffic, you can also optimize costs using reserved Virtual Capacity Units (VCUs).