Historical Data Archiving Scenarios
In industries such as e-commerce, retail, finance, O2O, and social applications, vast amounts of historical data accumulate alongside the latest data in MySQL databases over time. This hybrid storage of cold data and hot data leads to challenges like high storage costs, degraded database performance, and backup difficulties. Leveraging TDSQL Boundless' capabilities—massive storage, low cost, high reliability, and strong scalability—users can implement large-capacity data archival solutions at minimal cost while still supporting transactional processing and online data access. Tencent services like telecom top-ups and credit card repayment records already utilize TDSQL Boundless.
Massive Data Management
Traditional databases face numerous challenges when storing and managing massive data, especially in high-concurrency read/write and high-throughput scenarios. In massive-scale scenarios like log streams, IoT, and smart homes, large data volumes, extensive single-table records, high write throughput, and stringent consistency requirements are common business demands. TDSQL Boundless offers robust horizontal scalability, enabling near-linear improvements in system read/write throughput and processing capabilities when nodes are added, supporting hundreds of terabytes or more of data processing. Concurrently, its engine incorporates the Multi-Raft protocol to deliver strong consistency and high availability, along with rapid online DDL and AS capabilities, allowing users to stably and efficiently store and manage massive data. Additionally, TDSQL Boundless provides efficient data compression and storage policies, effectively reducing storage costs.
Agile Business Scenarios
With modern market demands becoming increasingly volatile and business development more agile, flexible Schema and unrestricted AS capabilities are particularly crucial for users in industries like gaming and SaaS. TDSQL Boundless provides robust support for agile business needs, with its powerful AS enabling rapid resource scaling up or down as required. It supports horizontal scaling, vertical scaling, and replica scaling. Concurrently, TDSQL Boundless' rapid online DDL capabilities allow users to effortlessly adjust database structures without disrupting business operations, effectively addressing unpredictable business changes and delivering strong support for complex modern requirements.
Centrialized Data Hub Scenarios
While traditional MySQL solutions using core business shard keys for database and table partitioning address transactional processing (TP) scenarios, they prove unfriendly for data operations or data aggregation scenarios (Data Serving/Data Hub). These scenarios often require lightweight statistical analysis across multiple dimensions rather than queries based solely on shard keys. In such cases, neither broadcast queries nor index tables can achieve multi-dimensional queries simply, flexibly, and efficiently. TDSQL Boundless excels in these scenarios. It supports high-speed aggregation of data from multiple shards into a single instance, enables creation of globally unique indexes, and ensures consistent queries across multi-shard, multi-dimensional data. This meets the high-performance read/write demands of data middle platform scenarios while supporting users in conducting data operations and analysis on massive datasets.