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TDSQL-C for MySQL
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    Between TDSQL-C for MySQL and TencentDB for MySQL

    Last updated: 2023-11-09 15:36:04
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      TDSQL-C for MySQL and TencentDB for MySQL are both relational database products offered by Tencent Cloud. TDSQL-C for MySQL is designed based on cloud-native architecture, integrating the strengths of traditional databases, cloud computing, and cutting-edge hardware technologies. It supports a wide range of advanced features and capabilities to deliver highly elastic and reliable database services, which features high performance and PB-level storage. While TencentDB for MySQL is a high-performance enterprise-grade database service that is specifically tailored based on the open-source MySQL database. It has six enterprise-grade features, including customized kernel, high availability, high reliability, security, scalability, and intelligent Ops.

      Detailed comparison

      Comparison Item
      TDSQL-C for MySQL
      TencentDB for MySQL
      Database type
      A new-generation relational database that is born cloud-native
      A high-performance enterprise-grade database service that is specifically tailored based on the open-source MySQL database
      Architecture
      Cluster: A cluster can contain only one read-write instance and up to 15 read-only instances.
      Single-node: One single node.
      Two-node: One source node and one replica node.
      Three-node: One source node and two replica nodes.
      Engine
      InnoDB
      InnoDB
      RocksDB
      Version
      Compatible with MySQL 5.7
      ‌Compatible with MySQL 8.0
      MySQL 5.6
      MySQL 5.7
      MySQL 8.0
      Application scenarios
      Businesses with great changes, frequent scaling, or needs of read-only instances to improve the read performance.
      Game projects with frequent quick rollback required
      Storage and access of petabytes of data
      Scenarios requiring a high write QPS
      Scenarios that are sensitive to source-replica delay
      Gaming
      Internet and mobile Apps
      Finance
      Ecommerce
      Specification
      Up to 88 cores and 710 GB memory p‌er instance
      Up to 90 cores and 720 GB memory p‌er instance
      Automatic backup
      The default retention time is 7 days, and the maximum retention time can be set to 1830 days.
      The default retention time is 7 days, and the maximum retention time can be set to 1830 days.
      Manual backup
      Supported
      Supported
      Backup file format
      Logical
      Snapshot
      Logical
      Physical
      Serverless
      Supports serverless elastic expansion without manual intervention, and scales up or down automatically and quickly.
      ‌Unsupported
      Maximum of creatable tables
      There are no limits on the number of databases or tables that can be created. In theory, as long as there is enough space, more databases and tables can be created.
      The number of tables in a single instance can't exceed 1 million.
      Read/write separation
      Supported
      Supported

      ‌Architecture comparison

      TDSQL-C for MySQL
      
      TencentDB for MySQL
      

      TDSQL-C for MySQL vs. TencentDB for MySQL

      TencentDB for MySQL (Weaknesses)
      TDSQL-C for MySQL (Strengths)
      The upper limit of data storage is limited by a single physical machine.
      Upgrading specifications and adding read-only instances takes a relatively long time‌.
      Strong data consistency requires expensive methods.
      Binlog-based data sync can't completely solve the source-replica delay.‌
      Full logs (redo log, binlog) and data page updates cause write performance bottlenecks‌.
      Data rollback and recovery takes too long.
      Compute nodes are stateless, and read-only nodes can be upgraded, switched, and added within seconds.
      Only redo logs are written to implement lightweight writing, delivering a higher write performance (increased by 140%).
      The source and replica instances are synced based on redo logs. The source instance pushes redo logs, and the replica instances only replay data in the memory without storing it in disks. The replica instance latency is reduced to milliseconds.
      Strong data consistency is implemented at the block level based on three copies.
      Distributed storage is supported with up to 400 TB capacity for each instance.
      Disk capacity expansion is imperceptible to and has no impact on the business.
      Gigabytes of data can be backed up/rolled back per second to solve the core problems of slow backup and rollback.
      Serverless capabilities are available.
      
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