Data Transmission Service：Features

Category

Feature

Description

References

Homogeneous migration

Logical migration

This feature allows you to migrate data between homogeneous databases.

Physical migration

This feature allows you to migrate data from a self-managed database to the cloud by using a physical gateway.

• Migrate data from a self-managed SQL Server database to an ApsaraDB RDS for SQL Server instance by using a physical protocol gateway
• Migrate data from a self-managed SQL Server database to an ApsaraDB RDS for SQL Server instance by using a physical gateway on a bastion host

Heterogeneous migration

Logical migration

This feature allows you to migrate data between heterogeneous databases.

• Migrate data from a self-managed Oracle database to an AnalyticDB for PostgreSQL instance
• Data type mappings between heterogeneous databases

Traffic cutover

Database cutover to the cloud

This feature helps you smoothly migrate your business to cloud databases after you complete database and application evaluation and transformation.

Periodic tasks

Scheduled full migration

This feature allows you to migrate schema data and historical data from the source database to the destination database on a regular basis by using the scheduling policy configurations of the data integration feature.

Account migration

Full account migration

When you configure a synchronization or migration task, you can enable the account migration feature to easily migrate accounts including their passwords and permissions from the source database to the destination database.

Category

Feature

Description

References

Synchronization instance management

Reverse disaster recovery switching with several simple steps

This feature allows you to create a reverse instance with several simple steps for a synchronization instance that is running as expected. You can use the reverse instance to synchronize incremental data back from the destination database to the source database.

Disaster recovery and multi-active redundancy

Two-way synchronization

This feature allows you to configure real-time two-way data synchronization between two databases such as an ApsaraDB RDS for MySQL database and a self-managed MySQL database. This feature is suitable for various scenarios such as active geo-redundancy based on a cellular architecture and geo-disaster recovery.

• Configure two-way data synchronization between MySQL instances
• Configure two-way data synchronization between PolarDB for PostgreSQL (Compatible with Oracle) clusters
• Configure two-way data synchronization between ApsaraDB RDS for PostgreSQL instances
• Configure two-way data synchronization between ApsaraDB for MongoDB replica set instances
• Configure two-way synchronization between Tair instances

Direction switch for two-way synchronization instances with several simple steps

This feature allows you to switch the direction of a two-way synchronization instance. If you need to switch between primary and secondary databases or between two cloud platforms, you can easily switch the direction of an existing two-way synchronization instance without the need to configure a new instance.

Global active database (GAD) cluster

You can create a GAD cluster based on ApsaraDB RDS and Data Transmission Service (DTS). This way, you can implement disaster recovery for databases and allow users to access nearest resources.

N/A

Synchronization topology management

This feature allows you to upgrade the synchronization topology of a synchronization task from one-way synchronization to two-way synchronization to meet evolving business requirements.

Management of conflict detection and resolution policies

Conflict detection

This feature allows you to detect conflicts such as uniqueness conflicts caused by INSERT operations, inconsistent records caused by UPDATE operations, and non-existent records to be deleted.

N/A

Conflict resolution

The following conflict resolution policies are supported: TaskFailed, Ignore, and Overwrite. The TaskFailed policy specifies that the system reports an error and terminates the task when a conflict occurs. The Ignore policy specifies that the system uses the conflicting records in the destination instance when a conflict occurs. The Overwrite policy specifies that the system overwrites the conflicting records in the destination instance.

N/A

Heterogeneous synchronization

Synchronization to real-time data warehouses

This feature allows you to synchronize data to real-time data warehouses to perform high-throughput offline processing and high-performance online analysis.

Non-database synchronization

This feature allows you to synchronize data to the specified function in Function Compute. You can write function code to process data.

• Synchronize data from a MongoDB replica set instance to a Function Compute function
• Synchronize data from an ApsaraDB for MongoDB sharded cluster instance to a Function Compute function

Heterogeneous database synchronization

This feature allows you to synchronize data between heterogeneous databases.

• Data type mappings for schema synchronization
• Synchronize data from a self-managed Oracle database to an AnalyticDB for PostgreSQL instance

Data shipping

Data shipping channel

You can create a data shipping instance to establish a data shipping channel. This way, you can use the data shipping SDK to ship data from data sources to DTS.

Data shipping SDK

You can use the data shipping SDK to ship data from various data sources to DTS, and then synchronize data from DTS to the destination database. This extends the types of data sources that are supported.

Homogeneous synchronization

Real-time synchronization between logically homogeneous databases

This feature allows you to synchronize data between homogeneous databases.

Category

Feature

Description

References

Change tracking

Change tracking channels

You can create a change tracking instance to obtain real-time incremental data changes of databases.

Change tracking SDK

You can use the SDK client demo, flink-dts-connector, or Kafka client demo to display tracked data. Then, you can consume data in change tracking channels by using an SDK client, Flink client, or Kafka client.

Traffic management for change tracking instances

If you specify a MySQL database as the source database for a change tracking instance, the system determines whether to charge you data transfer fees based on the configuration fee type that you select.

• Billable items
• Track data changes from an ApsaraDB RDS for MySQL instance

Category

Feature

Description

References

Task management

Task creation and configuration

You can create DTS tasks between various data sources. You can determine whether to configure a DTS task before or after you purchase a DTS instance.

• Supported databases
• Purchase a DTS instance

Task scheduling

By default, DTS schedules a task to a shared cluster. You can select a dedicated cluster in advanced settings to schedule the task.

N/A

Task monitoring

In the DTS console, you can obtain the status of the connections between DTS and the source and destination databases and various performance metrics of a DTS instance. You can refer to the obtained information to manage DTS tasks.

Task diagnostics

You can check the performance of the source database, destination database, network, and DTS during incremental migration. DTS provides diagnostic results and suggestions.

• Monitor task performance
• View the connection status and performance of incremental data migration
• View the connection status and performance of data synchronization

Task modification

You can manage environment tags of instances, add or remove objects to be synchronized when a data synchronization instance is running, and modify the ETL configurations of a data synchronization or migration instance.

• Modify the objects to be synchronized
• Configure ETL in a data migration or synchronization task
• Manage environment tags

Task deletion

To prevent additional fees, you can manually release a pay-as-you-go DTS instance or unsubscribe from a subscription DTS instance if all DTS tasks of the DTS instance are complete and the configurations of the DTS instance are no longer needed.

Cross-account access

This feature allows you to configure a DTS task across Alibaba Cloud accounts for scenarios such as resource migration or merging across Alibaba Cloud accounts and business architecture adjustment.

Cross-cloud access in a hybrid cloud

You can access databases over public IP addresses to migrate data between accounts that have different attributes, such as between an account in the public cloud and an account in the financial cloud.

N/A

Operation logs

You can query the operation logs of an instance to obtain information about the operations on the instance, operation results, and operator.

Database connection management

You can register databases in advance. When you configure a task, you can directly select registered databases. DTS automatically enters the database information without requiring you to manually enter the database information.

APIs

Alibaba Cloud pctowap open platform (POP) API operations

You can call API operations in OpenAPI Explorer for debugging.

SDKs

You can call API operations by using SDKs.

Terraform

The open source tool Terraform is supported.

N/A

Network management

Cross-region connectivity

This feature allows you to transmit data between source and destination databases that reside in different regions.

Data compression and transmission

DTS supports concurrent data compression and transmission to help minimize the bandwidth utilization.

Access over an internal endpoint

DTS allows you to connect to the source or destination database in a virtual private cloud (VPC) over an internal endpoint.

N/A

Database Gateway

You can connect a database to DTS by using Database Gateway.

Access over the Internet

You can connect a database to DTS by using a public IP address.

Cross-border data transmission

By default, DTS supports only data synchronization within the same country or region.

• Apply for permissions to synchronize data across borders
• Cross-border and cross-region tasks

Event center

Event notifications

You can use the event subscription feature of CloudMonitor to configure custom alert notifications for important events. This allows you to promptly become aware of the occurrence and progress of events, get informed of event dynamics in real time, and efficiently analyze and locate issues in the event of business interruptions.

Proactive O&M platform

The O&M event alert feature is supported. When the system detects risks that may cause DTS instances to fail to run as expected, corresponding O&M events are triggered and notifications are sent by using the console, emails, or internal messages.

Serverless instances

Serverless instance management

You can suspend a serverless instance, view metric data, and modify the upper and lower limits of DTS units (DUs).

N/A

Dedicated clusters

DU management

You can view the DUs that are created for a dedicated cluster and the DU usage. You can also modify the number of DUs for a task in a dedicated cluster to adjust the specifications of the task.

• Modify the number of DUs for a task in a DTS dedicated cluster
• View DU information of a DTS dedicated cluster

Disk configuration changes

If the disk usage of a dedicated cluster is too high to meet your business requirements, you can expand the disk capacity of the dedicated cluster to ensure that the disk space of the dedicated cluster meets your business requirements.

DTS instance migration between a dedicated cluster and a public cluster

You can migrate DTS instances between a dedicated cluster and a public cluster.

Dedicated cluster management

You can manually renew a dedicated cluster, modify node configurations of the dedicated cluster, and specify the overcommit ratio for the dedicated cluster.

Security

Data encryption

DTS supports SSL-secured connections to databases.

Operation isolation

You can use Resource Access Management (RAM) identities, including RAM users and RAM roles, that are granted minimum required permissions to access DTS. This improves data security and reduces security risks caused by permission abuse.

N/A

Account permission management

You can use system policies to authorize access to resources such as ApsaraDB RDS and Elastic Computer Service (ECS) instances within the specified Alibaba Cloud account. This allows you to perform DTS tasks by using a database account that has sufficient permissions.

• Authorize DTS to access Alibaba Cloud resources
• Prepare the database accounts for data migration

Reliability

High availability (HA) clusters

DTS uses servers with high specifications to ensure the performance of each data synchronization or migration instance.

Resumable upload

DTS supports automatic resumable upload to effectively ensure the reliability of data transmission.

Disaster recovery protection for data sources

If the source or destination database cannot be connected or other problems occur, DTS supports immediate and continuous retry operations.

N/A

Category

Feature

Description

References

Read/write splitting and traffic distribution

Real-time caching for transaction processing

You can migrate data from a MySQL database, such as a self-managed MySQL database or an ApsaraDB RDS for MySQL database, to a Tair or ApsaraDB for Redis instance. This reduces the loads on backend relational databases and improves user experience.

• Synchronize data from an ApsaraDB RDS for MySQL instance to a Tair or ApsaraDB for Redis instance
• Migrate data from an ApsaraDB RDS for MySQL instance to a Tair or ApsaraDB for Redis instance

Metadata filtering and mapping

Database, table, and column filtering

When you configure objects for a DTS task, you can select databases, tables, and columns as task objects.

N/A

Filtering by using DDL and DML statements

When you configure objects for a data migration or data synchronization task, you can execute SQL statements to filter the data that needs to be incrementally synchronized or migrated.

N/A

Database, table, and column name mapping

When you configure objects for a data migration or data synchronization task, you can specify the names of task objects including databases, tables, and columns in the destination instance. You can use this feature to synchronize or migrate data to the specified objects in the destination instance. You can also create an object that has the same schema as a source object in the destination instance and assign a different name to the new object.

Topology mapping

The data synchronization feature supports multiple types of synchronization topologies. You can plan your data synchronization instances based on your business requirements.

Data filtering and mapping

WHERE condition-based filtering

When you configure objects for a data synchronization or migration task, you can specify SQL conditions to synchronize or migrate only data that meets the specified conditions to the destination database.

Data type mapping

When you synchronize or migrate data between heterogeneous databases, data type mapping is performed during schema synchronization or migration. This way, data types in the source database are converted to data types that are supported by the destination database.

• Data type mappings for schema synchronization
• Data type mappings between heterogeneous databases

Category

Feature

Description

References

Homogeneous verification

Metadata verification

This feature allows you to verify the schema of homogeneous data.

Full data verification

This feature allows you to verify historical data in homogeneous databases.

Incremental data verification

This feature allows you to verify incremental data synchronized or migrated between homogeneous databases.

Heterogeneous verification

Metadata equivalence verification

This feature allows you to verify the schema of heterogeneous data.

Full data verification

This feature allows you to verify historical data in heterogeneous databases.

Incremental data verification

This feature allows you to verify incremental data synchronized or migrated between heterogeneous databases.

Data correction

Metadata correction

If data schema inconsistency is detected during data verification, you can correct data based on the verification results.

• FAQ about schema migration and revision
• View data verification details

Full data correction

If full data inconsistency is detected during data verification, you can download revised SQL statements to correct data based on the verification results.

Incremental data correction

If incremental data inconsistency is detected during data verification, you can correct data based on the verification results.

Category

Feature

Description

References

ZeroETL

Synchronization from a PolarDB for MySQL cluster to an AnalyticDB for MySQL 3.0 cluster

You can use federated analytics together with the AnalyticDB Pipeline Service (APS) feature of AnalyticDB for MySQL to synchronize data from PolarDB for MySQL to AnalyticDB for MySQL Data Lakehouse Edition (V3.0) in real time. This facilitates data synchronization and management.