This topic describes the performance metrics and pricing of exclusive resource groups for Data Integration.
Performance metrics
| Specifications | Maximum number of parallel threads for a batch synchronization node | Maximum number of parallel real-time synchronization nodes for a single table in a source | Maximum number of parallel real-time synchronization nodes for multiple tables in a source | Maximum number of parallel real-time synchronization nodes for table shards |
|---|---|---|---|---|
| 4c8g | 8 | 3 | 3 | Not supported |
| 8c16g | 16 | 6 | 6 | 1 |
| 12c24g | 24 | 9 | 9 | 1 |
| 16c32g | 32 | 12 | 12 | 2 |
| 24c48g | 48 | 18 | 18 | 3 |
Note
- Maximum number of parallel real-time synchronization nodes for a single table in a source and maximum number of parallel real-time synchronization nodes for multiple tables in a source: The configurations of different real-time synchronization nodes vary. The maximum number of parallel real-time synchronization nodes for a single table in a source and the maximum number of parallel real-time synchronization nodes for multiple tables in a source may not be reached during the actual running of the nodes for each type of specifications. Therefore, the values in these two columns of the preceding table are for reference only. The actual maximum numbers depend on the usage of resources in resource groups.
- Maximum number of parallel real-time synchronization nodes for table shards: If you want to synchronize data from two or more tables in a source, at least 13 real-time synchronization nodes need to be run in parallel to accomplish the data synchronization. The specifications of the resource group that is used to run these real-time synchronization nodes must be at least 8c16g.
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) | 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 |