Data Transfer Service
- Release Notes and Announcements
- Announcements
- Product Introduction
- Specification Description
- Preparations
- Network Preparation
- Interworking Between local IDC and Tencent Cloud
- Adding DTS IP Addresses to the Allowlist of the Corresponding Databases
- DTS Service Permission Preparation
- Data Migration
- Migration to MySQL Series
- Migrating to MySQL
- Migrating to MariaDB
- Migrating to TDSQL-C for MySQL
- Migrating to TDSQL MySQL
- Migrating to TDSQL TDStore
- Advanced Operations for MySQL Series Migration
- Processing for MySQL Series Pre-Check Failure
- Migrating to PostgreSQL
- Processing for PostgreSQL Series Pre-Check Failure
- Migrating to MongoDB
- Migration from MongoDB to MongoDB
- Fix for Verification Failure
- MongoDB Data Consistency Verification
- Migrating to SQL Server
- Migration from SQL Server to TencentDB for SQL Server
- Pre-Validation Failure Handling
- Migrating to TencentDB for Redis
- Migration from Redis to Redis
- Fix for Verification Failure
- Migrating to KeeWiDB
- Migration from Redis to KeeWiDB
- Task Management
- Data Sync
- Sync to MySQL series
- Sync to MySQL
- Sync to MariaDB
- Sync to TDSQL-C for MySQL
- Sync to TDSQL for MySQL
- Sync from TDSQL for MySQL to TDSQL for MySQL
- Sync to TDSQL TDStore
- MySQL Series Advanced Sync Operations
- MySQL series Pre Validation Failed Processing
- Synchronize to PostgreSQL
- PostgreSQL Pre Validation does not Pass Processing
- Synchronize to Kafka
- MySQL/MariaDB/Percona/TDSQL-C MySQL Sync to Kafka
- TDSQL MySQL Sync to Kafka
- Task Management
- Data Subscription (Kafka Edition)
- MySQL series Data Subscription
- Consuming MySQL Data
- Advanced Subscription Operations
- Fix for Verification Failure
- Data Subscription for TDSQL PostgreSQL
- Fix for Verification Failure
- MongoDB Data Subscription
- Fix for Verification Failure
- Task Management
- Consumption Management
- Fix for Verification Failure
- Monitoring and Alarms
- Configuring Metric Alarms and Event Alarms via the Console
- Practical Tutorial
- FAQs
- Error Handling
- API Documentation
- Making API Requests
- (NewDTS) Data Migration APIs
- Data Sync APIs
- Data Consistency Check APIs
- (NewDTS) Data Subscription APIs
- DTS API 2018-03-30
- Data Subscription APIs
- Making API Requests
- DTS APIs
- Service Agreement
Overview
Last updated: 2022-09-02 15:04:24
Overview
Data Transfer Service (DTS) supports multiple types of databases, such as MySQL, MariaDB, Percona, TDSQL-C, TDSQL for MySQL, PostgreSQL, Redis, MongoDB, and SQL Server. It helps you migrate your databases to the cloud without interrupting your business and build a high-availability database disaster recovery architecture through real-time sync channels. It provides the data subscription feature to meet your requirements for commercial data mining and async business decoupling.
DTS also provides a special edition: DTS-DBbridge, which can be independently deployed on the private cloud. DTS-DBbridge supports data migration and sync between heterogeneous and homogeneous databases, enabling you to migrate an entire database, such as an Oracle database.
Product Features
Data migration
Data migration refers to the process of replicating data between different data sources. DTS supports non-stop data migration to minimize the impact of database downtime on the business. This feature can be used to migrate data from local databases, TencentDB databases, and third-party cloud databases to TencentDB.
Data sync
Data sync refers to the process of syncing data between two database sources in real time. It is suitable for cloud-local active-active, multi-site active-active, and cross-border data sync as well as real-time data warehousing.
While data migration involves moving the entire database in one go, data sync is an ongoing process that will keep the data synced between the source and target databases to ensure consistency.
Data subscription
Data subscription refers to the process where DTS gets the data change information of a key business in the database, converts it into message objects, and pushes them to Kafka for the downstream businesses to subscribe to, obtain, and consume. DTS allows you to directly consume data through a Kafka client, so that you can implement data sync between TencentDB databases and heterogeneous systems, such as cache update, real-time ETL (a data warehousing technology) sync, and async business decoupling.
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