This topic describes the performance metrics and pricing of exclusive resource groups for Data Integration.
Performance metrics
Specifications | Maximum number of parallel threads supported for a batch synchronization solution or node |
4c8g | 8 |
8c16g | 16 |
12c24g | 24 |
16c32g | 32 |
24c48g | 48 |
Scenario | Recommended specifications for a single real-time synchronization solution or node |
Real-time synchronization of data in one MySQL database | 4c8g |
Real-time synchronization of data in two to five MySQL databases | 8c16g |
Real-time synchronization of data in more than six MySQL databases | 12c24g |
Real-time synchronization of data in PolarDB-X 1.0 | 12c24g |
Real-time synchronization of data in Kafka | 4c8g |
Real-time synchronization of data in a single table of another type of source | 4c8g |
Pricing
Region | Specifications | Price (USD/month) |
China (Hangzhou) | 4c8g | 76.23 |
8c16g | 152.45 | |
12c24g | 228.68 | |
16c32g | 304.91 | |
24c48g | 457.36 | |
China (Shanghai) | 4c8g | 76.23 |
8c16g | 152.45 | |
12c24g | 228.68 | |
16c32g | 304.91 | |
24c48g | 457.36 | |
China (Shenzhen) | 4c8g | 76.23 |
8c16g | 152.45 | |
12c24g | 228.68 | |
16c32g | 304.91 | |
24c48g | 457.36 | |
China (Beijing) | 4c8g | 76.23 |
8c16g | 152.45 | |
12c24g | 228.68 | |
16c32g | 304.91 | |
24c48g | 457.36 | |
China (Zhangjiakou) | 4c8g | 57.27 |
8c16g | 114.34 | |
12c24g | 171.61 | |
16c32g | 228.68 | |
24c48g | 343.02 | |
China (Chengdu) | 4c8g | 62.49 |
8c16g | 124.79 | |
12c24g | 187.09 | |
16c32g | 249.38 | |
24c48g | 374.17 | |
US (Silicon Valley) | 4c8g | 149.26 |
8c16g | 298.53 | |
12c24g | 447.77 | |
16c32g | 597.06 | |
24c48g | 895.55 | |
US (Virginia) | 4c8g | 110.63 |
8c16g | 221.26 | |
12c24g | 331.89 | |
16c32g | 442.53 | |
24c48g | 663.78 | |
China (Hong Kong) | 4c8g | 138.73 |
8c16g | 276.58 | |
12c24g | 416.18 | |
16c32g | 553.16 | |
24c48g | 832.35 | |
Singapore (Singapore) | 4c8g | 138.73 |
8c16g | 276.58 | |
12c24g | 416.18 | |
16c32g | 553.16 | |
24c48g | 832.35 | |
Australia (Sydney) | 4c8g | 147.51 |
8c16g | 295.02 | |
12c24g | 442.52 | |
16c32g | 590.03 | |
24c48g | 885.03 | |
Germany (Frankfurt) | 4c8g | 138.73 |
8c16g | 276.58 | |
12c24g | 416.18 | |
16c32g | 553.16 | |
24c48g | 817.91 | |
Malaysia (Kuala Lumpur) | 4c8g | 130.01 |
8c16g | 259.06 | |
12c24g | 390.04 | |
16c32g | 517.92 | |
24c48g | 780.07 | |
Indonesia (Jakarta) | 4c8g | 138.73 |
8c16g | 276.58 | |
12c24g | 416.18 | |
16c32g | 553.16 | |
24c48g | 832.35 | |
India (Mumbai) Closing Down | 4c8g | 115.89 |
8c16g | 231.00 | |
12c24g | 347.86 | |
16c32g | 462.20 | |
24c48g | 695.72 | |
Japan (Tokyo) | 4c8g | 158.92 |
8c16g | 316.97 | |
12c24g | 474.14 | |
16c32g | 633.94 | |
24c48g | 948.27 | |
UK (London) | 4c8g | 104.67 |
8c16g | 209.33 | |
12c24g | 314.00 | |
16c32g | 418.67 | |
24c48g | 628.00 | |
UAE (Dubai) | 4c8g | 166.38 |
8c16g | 331.80 | |
12c24g | 498.38 | |
16c32g | 663.80 | |
24c48g | 996.76 |