Tablestore is a multi-model data storage service that is developed by Alibaba Cloud. It can store a large amount of structured data and supports fast query and analysis. The distributed storage and powerful index-based search engine enable Tablestore to store petabytes of data while ensuring 10 million transactions per second (TPS) and a latency within milliseconds.
- Fully managed
Tablestore is a fully managed storage service for structured data. You need only to focus on business research and development, without worrying about software and hardware presetting, configurations, faults, cluster scale-out, and security. Tablestore ensures high availability of your business while minimizing management and maintenance costs.
- Seamless scalability
Tablestore uses shards and load balancing to implement seamless scalability. Tablestore adjusts the size of partitions to store more data. Tablestore can store a minimum of 10 PB of data. A single table can store a minimum of 1 PB of data or 1 trillion records.
- Powerful query capabilities
Tablestore supports queries based on secondary indexes and search indexes in addition to primary key-based queries.
- Secondary index: predefines a model to distribute data, which makes data query more efficient.
- Search index: supports query methods such as Boolean query, fuzzy query, geo query, and full-text search based on inverted indexes and column-oriented storage.
- High reliability
Tablestore creates multiple backups of data and stores them in different servers across racks. When a backup fails, the system immediately uses another backup to restore the data. This mechanism ensures service availability of 99.99999999% (ten 9s).
- Strong consistency
Tablestore ensures consistency among three backups. After data is written, applications can immediately read the written data.
- Highly concurrent read and write operations
Tablestore supports tens of millions of concurrent read and write queries per second (QPS).
You can use the Tablestore console to get started with Tablestore. For more information, see Getting started.
- time to live (TTL)
A data table attribute measured in seconds. This attribute indicates the validity period of data. For more information, see Max versions and TTL. To save storage space and minimize storage costs, the Tablestore backend automatically clears data after its TTL expires.
A physical data center. Tablestore is deployed across multiple Alibaba Cloud regions. You can select a region as needed. For more information, see Region.
- read/write throughput
A Tablestore attribute that is measured by read and write capacity units (CUs). A CU is the basic billing unit for data read and write operations. For more information, see Read/write throughput.
Alibaba Cloud provides web pages for you to manage Tablestore. To manage Tablestore instances, log on to the Tablestore console.
Alibaba Cloud provides SDKs in various programming languages for you to use Tablestore. For more information, see SDK overview.
- Tablestore CLI
Alibaba Cloud provides a command line tool Tablestore CLI for you to manage Tablestore. For more information, see Tablestore CLI.
Computing and analysis
You can perform computing and analysis on data in Tablestore.
- For information about how to combine MaxCompute with Tablestore, see Use MaxCompute to access Tablestore.
Data migration for synchronization
You can migrate heterogeneous data to Tablestore without interrupting services. You can also migrate data from Tablestore to services such as OSS.
- For more information about how to migrate data from Tablestore to OSS, see Overview.
The billing items of Tablestore include data storage usage, reserved read/write throughput, additional read/write throughput, and outbound Internet traffic. For more information, see Billing overview.
For more information about Tablestore and related resource prices, see Tablestore Pricing.