This topic describes the fees of compute nodes in ApsaraDB for ClickHouse clusters.
Fees of compute nodes
The fees provided in this topic are for reference only. The actual fees in the ApsaraDB for ClickHouse console shall prevail.
Double-replica Edition
Region | Node specification | Pay-as-you-go (unit: USD per hour) | Subscription (unit: USD per month) |
| 4 cores, 16 GB of memory | 0.6068 | 291.86 |
8 cores, 32 GB of memory | 1.1484 | 551.41 | |
16 cores, 64 GB of memory | 1.887 | 905.28 | |
32 cores, 128 GB of memory | 3.4944 | 1677.00 | |
64 cores, 256 GB of memory | 12.712 | 3664.05 | |
104 cores, 384 GB of memory | 11.2952 | 5421.33 | |
China (Zhangjiakou) | 4 cores, 16 GB of memory | 0.4366 | 209.38 |
8 cores, 32 GB of memory | 0.8136 | 390.96 | |
16 cores, 64 GB of memory | 1.329 | 637.83 | |
32 cores, 128 GB of memory | 2.4528 | 1177.76 | |
64 cores, 256 GB of memory | 9.2372 | 2665.07 | |
104 cores, 384 GB of memory | 7.9128 | 3798.79 | |
China (Hohhot) | 4 cores, 16 GB of memory | 0.5513 | 264.37 |
8 cores, 32 GB of memory | 1.0368 | 497.95 | |
16 cores, 64 GB of memory | 1.701 | 816.12 | |
32 cores, 128 GB of memory | 3.1472 | 1510.60 | |
64 cores, 256 GB of memory | 11.452 | 3299.38 | |
104 cores, 384 GB of memory | 10.1668 | 4880.48 | |
China (Chengdu) | 4 cores, 16 GB of memory | 0.5513 | 264.37 |
8 cores, 32 GB of memory | 1.0368 | 497.95 | |
16 cores, 64 GB of memory | 1.701 | 816.12 | |
32 cores, 128 GB of memory | 3.1472 | 1510.60 | |
64 cores, 256 GB of memory | 12.712 | 3664.05 | |
104 cores, 384 GB of memory | 10.1668 | 4880.48 | |
China (Hong Kong) | 4 cores, 16 GB of memory | 1.0027 | 470.196 |
8 cores, 32 GB of memory | 1.8972 | 890.784 | |
16 cores, 64 GB of memory | 3.117 | 1464.48 | |
32 cores, 128 GB of memory | 5.7764 | 2714.88 | |
64 cores, 256 GB of memory | 10.794 | 5100.928 | |
104 cores, 384 GB of memory | 18.6788 | 8781.024 | |
Japan (Tokyo) | 4 cores, 16 GB of memory | 0.9546 | 479.34 |
8 cores, 32 GB of memory | 1.7928 | 904.79 | |
16 cores, 64 GB of memory | 2.904 | 1484.67 | |
32 cores, 128 GB of memory | 5.4264 | 2749.63 | |
64 cores, 256 GB of memory | 10.8024 | 5365.50 | |
104 cores, 384 GB of memory | 17.5224 | 8781.024 | |
| 4 cores, 16 GB of memory | 0.9139 | 433.49 |
8 cores, 32 GB of memory | 1.7244 | 819.36 | |
16 cores, 64 GB of memory | 2.829 | 1345.44 | |
32 cores, 128 GB of memory | 5.2388 | 2492.67 | |
64 cores, 256 GB of memory | 10.794 | 5100.93 | |
104 cores, 384 GB of memory | 16.9316 | 8058.85 | |
Malaysia (Kuala Lumpur) | 4 cores, 16 GB of memory | 0.8682 | 411.82 |
8 cores, 32 GB of memory | 1.6382 | 778.41 | |
16 cores, 64 GB of memory | 2.6876 | 1278.20 | |
32 cores, 128 GB of memory | 4.9770 | 2368.10 | |
64 cores, 256 GB of memory | 10.2546 | 4846.02 | |
104 cores, 384 GB of memory | 16.0855 | 7656.13 | |
| 4 cores, 16 GB of memory | 0.7437 | 344.43 |
8 cores, 32 GB of memory | 1.3932 | 646.13 | |
16 cores, 64 GB of memory | 2.277 | 1059.72 | |
32 cores, 128 GB of memory | 4.2084 | 1953.73 | |
64 cores, 256 GB of memory | 8.6436 | 4008.7 | |
104 cores, 384 GB of memory | 13.5828 | 6307.28 | |
Germany (Frankfurt) | 4 cores, 16 GB of memory | 0.8954 | 456.21 |
8 cores, 32 GB of memory | 1.6776 | 861.84 | |
16 cores, 64 GB of memory | 2.742 | 1414.8 | |
32 cores, 128 GB of memory | 5.068 | 2620.80 | |
64 cores, 256 GB of memory | 10.3544 | 5115.71 | |
104 cores, 384 GB of memory | 16.3576 | 8472.21 |
Single-replica Edition
Region | Node specification | Pay-as-you-go (unit: USD per hour) | Subscription (unit: USD per month) |
| 4 cores, 16 GB of memory | 0.3034 | 145.93 |
8 cores, 32 GB of memory | 0.5742 | 275.71 | |
16 cores, 64 GB of memory | 0.9435 | 452.64 | |
32 cores, 128 GB of memory | 1.7472 | 838.5 | |
64 cores, 256 GB of memory | 6.356 | 1832 | |
104 cores, 384 GB of memory | 5.6476 | 2710.67 | |
China (Zhangjiakou) | 4 cores, 16 GB of memory | 0.2183 | 104.69 |
8 cores, 32 GB of memory | 0.4068 | 195.48 | |
16 cores, 64 GB of memory | 0.6645 | 318.92 | |
32 cores, 128 GB of memory | 1.2264 | 588.88 | |
64 cores, 256 GB of memory | 4.6186 | 1332.53 | |
104 cores, 384 GB of memory | 3.9564 | 1899.39 | |
China (Hohhot) | 4 cores, 16 GB of memory | 0.27565 | 132.18 |
8 cores, 32 GB of memory | 0.5184 | 248.98 | |
16 cores, 64 GB of memory | 0.8505 | 408.06 | |
32 cores, 128 GB of memory | 1.5736 | 755.30 | |
64 cores, 256 GB of memory | 5.726 | 1649.69 | |
104 cores, 384 GB of memory | 5.0834 | 2440.24 | |
China (Chengdu) | 4 cores, 16 GB of memory | 0.27565 | 132.18 |
8 cores, 32 GB of memory | 0.5184 | 248.98 | |
16 cores, 64 GB of memory | 0.8505 | 408.06 | |
32 cores, 128 GB of memory | 1.5736 | 755.30 | |
64 cores, 256 GB of memory | 6.356 | 1832.03 | |
104 cores, 384 GB of memory | 5.0834 | 2440.24 | |
China (Hong Kong) | 4 cores, 16 GB of memory | 0.50135 | 235.1 |
8 cores, 32 GB of memory | 0.9486 | 445.39 | |
16 cores, 64 GB of memory | 1.5585 | 732.24 | |
32 cores, 128 GB of memory | 2.8882 | 1357.4 | |
64 cores, 256 GB of memory | 5.397 | 2550.5 | |
104 cores, 384 GB of memory | 9.3394 | 4390.5 | |
Japan (Tokyo) | 4 cores, 16 GB of memory | 0.4773 | 239.67 |
8 cores, 32 GB of memory | 0.8964 | 452.39 | |
16 cores, 64 GB of memory | 1.452 | 742.34 | |
32 cores, 128 GB of memory | 2.7132 | 1374.8 | |
64 cores, 256 GB of memory | 5.4012 | 2682.8 | |
104 cores, 384 GB of memory | 8.7612 | 4443.7 | |
| 4 cores, 16 GB of memory | 0.45695 | 216.75 |
8 cores, 32 GB of memory | 0.8622 | 409.68 | |
16 cores, 64 GB of memory | 1.4145 | 672.72 | |
32 cores, 128 GB of memory | 2.6194 | 1246.34 | |
64 cores, 256 GB of memory | 5.397 | 2550.46 | |
104 cores, 384 GB of memory | 8.4658 | 4029.42 | |
Malaysia (Kuala Lumpur) | 4 cores, 16 GB of memory | 0.4341 | 205.91 |
8 cores, 32 GB of memory | 0.8191 | 389.20 | |
16 cores, 64 GB of memory | 1.3438 | 639.10 | |
32 cores, 128 GB of memory | 2.4885 | 1184.05 | |
64 cores, 256 GB of memory | 5.1273 | 2423.01 | |
104 cores, 384 GB of memory | 8.0427 | 3828.06 | |
| 4 cores, 16 GB of memory | 0.37185 | 172.22 |
8 cores, 32 GB of memory | 0.6966 | 323.06 | |
16 cores, 64 GB of memory | 1.1385 | 529.86 | |
32 cores, 128 GB of memory | 2.1042 | 976.86 | |
64 cores, 256 GB of memory | 4.3218 | 2004.35 | |
104 cores, 384 GB of memory | 6.7914 | 3153.64 | |
Germany (Frankfurt) | 4 cores, 16 GB of memory | 0.4477 | 228.11 |
8 cores, 32 GB of memory | 0.8388 | 430.92 | |
16 cores, 64 GB of memory | 1.371 | 707.40 | |
32 cores, 128 GB of memory | 2.534 | 1310.40 | |
64 cores, 256 GB of memory | 5.1772 | 2557.86 | |
104 cores, 384 GB of memory | 8.1788 | 4236.11 |