Data integration supports various data object synchronization methods, including:
Full Synchronization: This method involves copying all data from the source to the target system every time. It ensures that both systems have identical data copies but can be resource-intensive.
Example: Syncing a complete database table every night.
Incremental Synchronization: Only the changes made since the last synchronization are copied. This is more efficient as it requires less data to be transferred.
Example: Syncing only the new records added to a database table since the previous sync.
Delta Synchronization: Similar to incremental synchronization, but it focuses on the differences (deltas) between the source and target data. This method is particularly useful for large datasets where only a small portion changes.
Example: Syncing only the modified fields in a set of records.
Two-Way Synchronization: Data flows both ways between the source and target systems, ensuring that changes in one system are reflected in the other.
Example: Syncing contact information between a mobile app and a cloud-based CRM.
Real-Time Synchronization: Data is synchronized instantly as changes occur, ensuring that both systems are always up-to-date.
Example: Syncing chat messages in a messaging app across multiple devices.
For implementing these synchronization methods in the cloud, services like Tencent Cloud's Data Transmission Service (DTS) can be utilized. DTS offers seamless migration and synchronization capabilities for databases, supporting various databases such as MySQL, PostgreSQL, and SQL Server, ensuring data consistency and high availability across different environments.