Data Transmission Service, DTS

Data Transmission Service (DTS) is a real-time data transmission service that integrates data migration and data synchronization, and supports data transmission between data sources such as RDBMS, NoSQL, and OLAP. It helps users quickly migrate databases to the cloud without service interruption.

  • Product Advantages
  • Product functions
  • Application scenarios
  • solution

Product Advantages

  • Complete migration schemes

    It supports real-time data synchronization between multiple homogeneous and heterogeneous data sources, database and table structure migration, full migration, and incremental migration of data, helping users synchronize data to target data sources in real time and achieve “zero downtime” migration to the cloud.

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    Small impact on data

    It supports incremental synchronization based on logs, and adding, deleting, and modifying operations synchronization to minimize the impact on the source database.

  • Data security

    Security measures such as authorized access, encryption of login information, and encryption of data transmission are comprehensively adopted.

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    High reliability

    In the event of network failure, congestion, server restart, etc., the data can be transmitted accurately and reliably, and the data will not be leaked or retransmitted.

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    High performance

    With the high efficiency of transmission, data can be transferred from the source database to the target database in real time if the network bandwidth allows, and the bandwidth can be fully utilized.

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    Visualization

    Intuitive charts are used to display task progress information, which is convenient for users to manage and monitor.

Product functions

  • Data migration

    It supports data migration between two data sources, which is suitable for business scenarios such as data migration to the cloud and cross-region instance migration within Inspur Cloud. It supports data migration and hot migration between homogeneous and heterogeneous data sources without downtime, and smooth business migration to the cloud.

  • Data synchronization

    It supports real-time data synchronization between two data sources, which is suitable for business scenarios such as local data disaster recovery, data remote disaster recovery, and data multi-active data. It supports real-time data synchronization between homogeneous and heterogeneous data sources, adds and deletes synchronization objects online, and adjusts synchronization policies in real time.

Application scenarios

  • Hot migration to the cloud

  • Intra-city active-active

  • Local disaster recovery

  • Remote disaster recovery

  • Business is not interrupted, and data is hot-migrated to the cloud. It is used for government or enterprise customers’ database system full and incremental migration to the cloud, uninterrupted business migration to the cloud, internal cross-instance data migration, and other scenarios, and supports synchronization from local database to Inspur cloud database and cross-cloud database.


  • Cross-region and cross-data center ensure service active-active. Build a backup database across availability zones (data centers) to achieve intra-city active-active and effectively ensure business continuity.


  • Cloud backup makes data more secure and business more assured. By configuring the real-time data channel, the local database is synchronized to the Inspur Cloud Database, and when the local database is unavailable, the configuration is modified on the application side to switch to the cloud database, so as to easily realize the disaster recovery of the local database on the cloud.


  • Cross-region disaster recovery effectively avoids business interruption caused by natural disasters such as earthquakes and tsunamis. It is used for real-time backup of the database system of government or enterprise customers, and the local database, ECS self-built database, and other cloud vendor databases are backed up to Inspur Cloud Database in real time through the real-time data synchronization service, effectively ensuring that the data is foolproof.


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