Data Disaster Recovery provides cross-region backups in dedicated mode for PolarDB for MySQL, ApsaraDB for MongoDB, ApsaraDB RDS for SQL Server, ApsaraDB RDS for PostgreSQL, and ApsaraDB RDS for MySQL instances that use local disks. Compared with the general mode (default instance mode), the dedicated mode offers higher scheduling priority and bandwidth limits, though at an increased cost. This topic describes the network traffic fees of cross-region backups in dedicated mode.
For ApsaraDB RDS for MySQL instances that use cloud disks, you need to submit a ticket to use the general mode.
For more information about network traffic fees of cross-region backups in general mode, see Network traffic fees.
Network traffic fees of cross-region backups for ApsaraDB RDS for MySQL, ApsaraDB RDS for PostgreSQL, and ApsaraDB RDS for SQL Server instances
Source region | Destination region | Price (USD per GB) |
Regions in the Chinese mainland | Regions in the Chinese mainland | 0.075 |
China (Hong Kong) | 0.55 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.55 | |
China (Hong Kong) | Regions in the Chinese mainland | 0.55 |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
Thailand (Bangkok) | Regions in the Chinese mainland | 0.55 |
China (Hong Kong) | 0.93 | |
South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
South Korea (Seoul) | Regions in the Chinese mainland | 0.55 |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), Philippines (Manila), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
Philippines (Manila) | Regions in the Chinese mainland | 0.55 |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
Japan (Tokyo) | Regions in the Chinese mainland | 0.55 |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
Singapore | Regions in the Chinese mainland | 0.55 |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Malaysia (Kuala Lumpur), Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
Malaysia (Kuala Lumpur) | Regions in the Chinese mainland | 0.55 |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, Indonesia (Jakarta), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
Indonesia (Jakarta) | Regions in the Chinese mainland | |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, US (Silicon Valley), US (Virginia), Malaysia (Kuala Lumpur), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
Germany (Frankfurt) | Regions in the Chinese mainland | 0.55 |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), UK (London), and UAE (Dubai) | 0.93 | |
US (Silicon Valley) | Regions in the Chinese mainland | 0.55 |
US (Virginia) | 0.21 | |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 | |
US (Virginia) | Regions in the Chinese mainland | 0.55 |
US (Silicon Valley) | 0.21 | |
China (Hong Kong) | 0.93 | |
Thailand (Bangkok), South Korea (Seoul), Philippines (Manila), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Germany (Frankfurt), UK (London), and UAE (Dubai) | 0.93 |
Network traffic fees of cross-region backups for PolarDB for MySQL clusters and PolarDB for PostgreSQL clusters
PolarDB for MySQL
Source region | Destination region | Price (USD per GB) | Offset factor |
Regions in the Chinese mainland | Regions in the Chinese mainland | 0.075 | 0.625 |
US (Silicon Valley), US (Virginia), and UAE (Dubai) | 0.31 | 2.58 | |
China (Hong Kong), UK (London), Singapore, Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.19 | 1.58 | |
Germany (Frankfurt), Japan (Tokyo), and Malaysia (Kuala Lumpur) | 0.28 | 2.33 | |
South Korea (Seoul) | 0.1805 | 1.50 | |
China (Hong Kong) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.118 | 0.98 |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Japan (Tokyo) | China (Hong Kong), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.12 | 1.00 |
Regions in the Chinese mainland | 0.28 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
South Korea (Seoul) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.1805 | 1.50 | |
UAE (Dubai) | 0.299 | 2.49 | |
Singapore | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.08 | 0.67 |
China (Hong Kong) and South Korea (Seoul) | 0.119 | 0.99 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Malaysia (Kuala Lumpur) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.28 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
Indonesia (Jakarta) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), and UK (London) | 0.08 | 0.67 |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.08 | 0.67 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Philippines (Manila) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Malaysia (Kuala Lumpur), Indonesia (Jakarta), and Thailand (Bangkok) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Thailand (Bangkok) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Malaysia (Kuala Lumpur), Indonesia (Jakarta), and Philippines (Manila) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
US (Silicon Valley) | US (Virginia) | 0.076 | 0.63 |
Germany (Frankfurt) and UK (London) | 0.076 | 0.63 | |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.31 | 2.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
US (Virginia) | US (Silicon Valley) | 0.076 | 0.63 |
Germany (Frankfurt) and UK (London) | 0.076 | 0.63 | |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.31 | 2.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Germany (Frankfurt) | US (Silicon Valley), US (Virginia), and UK (London) | 0.076 | 0.63 |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.28 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
UK (London) | US (Silicon Valley), US (Virginia), and Germany (Frankfurt) | 0.076 | 0.63 |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
UAE (Dubai) | Regions in the Chinese mainland | 1.53 | 12.75 |
China (Hong Kong), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), Japan (Tokyo), South Korea (Seoul), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.299 | 2.49 |
PolarDB for PostgreSQL
Source region | Destination region | Price (USD per GB) | Offset factor |
Regions in the Chinese mainland | Regions in the Chinese mainland | 0.075 | 0.625 |
US (Silicon Valley) and US (Virginia) | 0.076 | 0.63 | |
US (Silicon Valley) | Regions in the Chinese mainland | 0.31 | 2.58 |
US (Virginia) | 0.076 | 0.63 | |
US (Virginia) | Regions in the Chinese mainland | 0.31 | 2.58 |
US (Silicon Valley) | 0.076 | 0.63 |
Network traffic fees of cross-region backups for ApsaraDB for MongoDB instances
Source region | Destination region | Price (USD per GB) | Offset factor |
Regions in the Chinese mainland | Regions in the Chinese mainland | 0.075 | 0.625 |
US (Silicon Valley), US (Virginia), and UAE (Dubai) | 0.31 | 2.58 | |
China (Hong Kong), UK (London), Singapore, Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.19 | 1.58 | |
Germany (Frankfurt), Japan (Tokyo), and Malaysia (Kuala Lumpur) | 0.28 | 2.33 | |
South Korea (Seoul) | 0.1805 | 1.50 | |
China (Hong Kong) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.118 | 0.98 |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Japan (Tokyo) | China (Hong Kong), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.12 | 1.00 |
Regions in the Chinese mainland | 0.28 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
South Korea (Seoul) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.1805 | 1.50 | |
UAE (Dubai) | 0.299 | 2.49 | |
Singapore | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.08 | 0.67 |
China (Hong Kong) and South Korea (Seoul) | 0.119 | 0.99 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Malaysia (Kuala Lumpur) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.28 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
Indonesia (Jakarta) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), and UK (London) | 0.08 | 0.67 |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.08 | 0.67 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Philippines (Manila) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Malaysia (Kuala Lumpur), Indonesia (Jakarta), and Thailand (Bangkok) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Thailand (Bangkok) | US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), South Korea (Seoul), Malaysia (Kuala Lumpur), Indonesia (Jakarta), and Philippines (Manila) | 0.076 | 0.63 |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 1.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
US (Silicon Valley) | US (Virginia) | 0.076 | 0.63 |
Germany (Frankfurt) and UK (London) | 0.076 | 0.63 | |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.31 | 2.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
US (Virginia) | US (Silicon Valley) | 0.076 | 0.63 |
Germany (Frankfurt) and UK (London) | 0.076 | 0.63 | |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.31 | 2.58 | |
UAE (Dubai) | 0.299 | 2.49 | |
Germany (Frankfurt) | US (Silicon Valley), US (Virginia), and UK (London) | 0.076 | 0.63 |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.28 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
UK (London) | US (Silicon Valley), US (Virginia), and Germany (Frankfurt) | 0.076 | 0.63 |
Indonesia (Jakarta) | 0.08 | 0.67 | |
South Korea (Seoul), Malaysia (Kuala Lumpur), Philippines (Manila), and Thailand (Bangkok) | 0.076 | 0.63 | |
Singapore | 0.08 | 0.67 | |
China (Hong Kong) | 0.118 | 0.98 | |
Japan (Tokyo) | 0.12 | 1.00 | |
Regions in the Chinese mainland | 0.19 | 2.33 | |
UAE (Dubai) | 0.299 | 2.49 | |
UAE (Dubai) | Regions in the Chinese mainland | 1.53 | 12.75 |
China (Hong Kong), US (Silicon Valley), US (Virginia), Germany (Frankfurt), UK (London), Japan (Tokyo), South Korea (Seoul), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), Philippines (Manila), and Thailand (Bangkok) | 0.299 | 2.49 |