Product Pricing
Last updated: 2025-11-27 17:00:28
The billable items of TDSQL-C for MySQL include compute node, storage space, and value-added services such as backup space and database audit. This document describes the pricing of TDSQL-C for MySQL.
Billing Overview
Note:
Value-added services are billed separately and independently of compute nodes and storage space. For more information, see Value-Added Service Pricing.
Total monthly subscription fees = compute node fees + storage space fees = compute node price number of compute nodes + storage space price storage space
Total pay-as-you-go fees = compute node fees + storage space fees = compute node price number of compute nodes + storage space price storage space
Total serverless fees = compute node fees + storage space fees = serverless computing power price number of CCUs + storage space price storage space
TDSQL-C for MySQL adopts a computing-storage separation architecture. You can purchase multiple compute nodes for a single cluster. Each compute node is billed separately, and all compute nodes in the same cluster share the same storage space, so you only need to pay for one storage space.
Compute node fees are charged in the corresponding billing mode (monthly subscription, pay-as-you-go, or serverless) based on the specification you purchase.
Storage space fees: Fees are charged based on the selected billing mode. Primary storage supports yearly/monthly subscription (such as pre-purchased storage space) and pay-as-you-go (billed hourly, with fees settled based on the actual storage space used per minute within each billing hour).
Pay-as-you-go storage space billing and settlement example: Assume the storage space is billed at a rate of 1 USD/GB per minute. In the first minute, 1 GB of storage is used, resulting in a cost of USD 1. From the second to the 60th minute, an additional 2 GB of storage is used each minute. This indicates that a cost of USD 2 is incurred per minute for the additional usage. The actual settlement amount for one hour is calculated as follows: 1 + (2 x 59) = USD 119.
Note:
Monthly-subscribed storage space can be purchased only after you select the monthly subscription billing mode for TDSQL-C for MySQL.
Compute Node Pricing
The following table lists compute node specifications and prices of general and dedicated instances. Some specifications may be sold out, and the actual prices on the Purchase Page shalll prevail.
Compute Node Specification | Guangzhou, Shanghai, Beijing, Nanjing, Chengdu, and Chongqing | Hong Kong (China) | Beijing Finance | Silicon Valley and Frankfurt | Virginia | Singapore, Seoul, and Bangkok | Tokyo | São Paulo | ||||||||
| Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) |
1 core 1GB | 0.018396 | 8.82352942 | 0.026 | 12.53 | 0.0234 | 11.24 | 0.027252 | 13.12 | 0.027252 | 13.12 | 0.026928 | 12.95 | 0.020268 | 9.75 | 0.068184 | 32.73529412 |
1-core 2 GB | 0.027576 | 13.23529412 | 0.033444 | 16.06 | 0.030024 | 14.42 | 0.034956 | 16.83 | 0.034956 | 16.83 | 0.034632 | 16.66 | 0.025992 | 12.5 | 0.08748 | 42 |
2-core 4 GB | 0.040032 | 19.2152 | 0.066888 | 32.12 | - | - | - | - | 0.069912 | 33.664 | - | - | - | - | - | - |
2-core 8 GB | 0.057744 | 27.6952 | 0.096264 | 46.24 | - | - | - | - | 0.100728 | 48.504 | - | - | - | - | - | - |
2-core 16 GB | 0.093168 | 44.6552 | 0.155016 | 74.48 | - | - | - | - | 0.16236 | 78.184 | - | - | - | - | - | - |
4-core 8 GB | 0.080064 | 38.4304 | 0.133776 | 64.24 | - | - | - | - | 0.139824 | 67.328 | - | - | - | - | - | - |
4-core 16GB | 0.115488 | 55.3904 | 0.192528 | 92.48 | - | - | - | - | 0.201456 | 97.008 | - | - | - | - | - | - |
4-core 24 GB | 0.150912 | 72.3504 | 0.25128 | 120.72 | - | - | - | - | 0.263088 | 126.688 | - | - | - | - | - | - |
4-core 32 GB | 0.186336 | 89.3104 | 0.310032 | 148.96 | - | - | - | - | 0.32472 | 156.368 | - | - | - | - | - | - |
8-core 16 GB | 0.240192 | 115.232 | 0.401184 | 192.64 | - | - | - | - | 0.420192 | 201.92 | - | - | - | - | - | - |
8-core 32GB | 0.346176 | 166.112 | 0.57744 | 277.28 | - | - | - | - | 0.605664 | 290.88 | - | - | - | - | - | - |
8-core 48 GB | 0.45216 | 216.992 | 0.753696 | 361.92 | - | - | - | - | 0.791136 | 379.84 | - | - | - | - | - | - |
8-core 64 GB | 0.558144 | 267.872 | 0.929952 | 446.56 | - | - | - | - | 0.976608 | 468.8 | - | - | - | - | - | - |
12-core 48 GB | 0.519264 | 249.168 | 0.86616 | 415.92 | - | - | - | - | 0.908496 | 436.32 | - | - | - | - | - | - |
12-core 72 GB | 0.67824 | 325.488 | 1.130544 | 542.88 | - | - | - | - | 1.186704 | 569.76 | - | - | - | - | - | - |
12-core 96 GB | 0.837216 | 401.808 | 1.394928 | 669.84 | - | - | - | - | 1.464912 | 703.2 | - | - | - | - | - | - |
16-core 64GB | 0.692352 | 332.224 | 1.15488 | 554.56 | - | - | - | - | 1.211328 | 581.76 | - | - | - | - | - | - |
16-core 96GB | 0.90432 | 433.984 | 1.507392 | 723.84 | - | - | - | - | 1.582272 | 759.68 | - | - | - | - | - | - |
16-core 128GB | 1.116288 | 535.744 | 1.859904 | 893.12 | - | - | - | - | 1.953216 | 937.6 | - | - | - | - | - | - |
Compute Node Specification | Guangzhou, Shanghai, Beijing, and Nanjing | Chengdu and Chongqing | Hong Kong (China) | Beijing Finance | Silicon Valley, Frankfurt, Virginia, and São Paulo | Singapore, Seoul, Bangkok, and Jakarta | Tokyo | |||||||
| Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) | Price of Pay-as-You-Go (USD/Hour) | Price of Monthly Subscription (USD/Month) |
2-core 4 GB | 0.099936 | 48.00000002 | 0.069912 | 33.59999998 | 0.167328 | 80.29411764 | 0.15012 | 72 | 0.17496 | 84 | 0.173304 | 83.20588234 | 0.12996 | 62.4 |
2-core 8 GB | 0.144 | 69.17647062 | 0.100728 | 48.42352938 | 0.240912 | 115.58823528 | 0.21636 | 103.76470588 | 0.252144 | 121.05882352 | 0.250488 | 120.26470586 | 0.187272 | 89.92941176 |
2-core 16 GB | 0.232128 | 111.52941182 | 0.16236 | 78.07058818 | 0.38808 | 186.17647056 | 0.34884 | 167.29411764 | 0.406512 | 195.17647056 | 0.404856 | 194.3823529 | 0.301896 | 144.98823528 |
4-core 8 GB | 0.199872 | 96.00000004 | 0.139824 | 67.19999996 | 0.334656 | 160.58823528 | 0.30024 | 144 | 0.34992 | 168 | 0.346608 | 166.41176468 | 0.25992 | 124.8 |
4-core 16GB | 0.288 | 138.35294124 | 0.201456 | 96.84705876 | 0.481824 | 231.17647056 | 0.43272 | 207.52941176 | 0.504288 | 242.11764704 | 0.500976 | 240.52941172 | 0.374544 | 179.85882352 |
4-core 24 GB | 0.376128 | 180.70588244 | 0.263088 | 126.49411756 | 0.628992 | 301.76470584 | 0.5652 | 271.05882352 | 0.658656 | 316.23529408 | 0.655344 | 314.64705876 | 0.489168 | 234.91764704 |
4-core 32 GB | 0.464256 | 223.05882364 | 0.32472 | 156.14117636 | 0.77616 | 372.35294112 | 0.69768 | 334.58823528 | 0.813024 | 390.35294112 | 0.809712 | 388.7647058 | 0.603792 | 289.97647056 |
8-core 16 GB | 0.399744 | 192.00000008 | 0.279648 | 134.39999992 | 0.669312 | 321.17647056 | 0.60048 | 288 | 0.69984 | 336 | 0.693216 | 332.82352936 | 0.51984 | 249.6 |
8-core 32GB | 0.576 | 276.70588248 | 0.402912 | 193.69411752 | 0.963648 | 462.35294112 | 0.86544 | 415.05882352 | 1.008576 | 484.23529408 | 1.001952 | 481.05882344 | 0.749088 | 359.71764704 |
8-core 48 GB | 0.752256 | 361.41176488 | 0.526176 | 252.98823512 | 1.257984 | 603.52941168 | 1.1304 | 542.11764704 | 1.317312 | 632.47058816 | 1.310688 | 629.29411752 | 0.978336 | 469.83529408 |
8-core 64 GB | 0.928512 | 446.11764728 | 0.64944 | 312.28235272 | 1.55232 | 744.70588224 | 1.39536 | 669.17647056 | 1.626048 | 780.70588224 | 1.619424 | 777.5294116 | 1.207584 | 579.95294112 |
12-core 48 GB | 0.864 | 415.05882372 | 0.604368 | 290.54117628 | 1.445472 | 693.52941168 | 1.29816 | 622.58823528 | 1.512864 | 726.35294112 | 1.502928 | 721.58823516 | 1.123632 | 539.57647056 |
12-core 72 GB | 1.128384 | 542.11764732 | 0.789264 | 379.48235268 | 1.886976 | 905.29411752 | 1.6956 | 813.17647056 | 1.975968 | 948.70588224 | 1.966032 | 943.94117628 | 1.467504 | 704.75294112 |
12-core 96 GB | 1.392768 | 669.17647092 | 0.97416 | 468.42352908 | 2.32848 | 1117.05882336 | 2.09304 | 1003.76470584 | 2.439072 | 1171.05882336 | 2.429136 | 1166.2941174 | 1.811376 | 869.92941168 |
16-core 32 GB | 0.799488 | 384.00000016 | 0.559296 | 268.79999984 | 1.338624 | 642.35294112 | 1.20096 | 576 | 1.39968 | 672 | 1.386432 | 665.64705872 | 1.03968 | 499.2 |
16-core 64GB | 1.152 | 553.41176496 | 0.805824 | 387.38823504 | 1.927296 | 924.70588224 | 1.73088 | 830.11764704 | 2.017152 | 968.47058816 | 2.003904 | 962.11764688 | 1.498176 | 719.43529408 |
16-core 96GB | 1.504512 | 722.82352976 | 1.052352 | 505.97647024 | 2.515968 | 1207.05882336 | 2.2608 | 1084.23529408 | 2.634624 | 1264.94117632 | 2.621376 | 1258.58823504 | 1.956672 | 939.67058816 |
16-core 128GB | 1.857024 | 892.23529456 | 1.29888 | 624.56470544 | 3.10464 | 1489.41176448 | 2.79072 | 1338.35294112 | 3.252096 | 1561.41176448 | 3.238848 | 1555.0588232 | 2.415168 | 1159.90588224 |
24-core 96 GB | 1.728 | 830.11764744 | 1.208736 | 581.08235256 | 3.10464 | 1387.05882336 | 2.59632 | 1245.17647056 | 3.025728 | 1452.70588224 | 3.005856 | 1443.17647032 | 2.247264 | 1079.15294112 |
24-core 144 GB | 2.256768 | 1084.23529464 | 1.578528 | 758.96470536 | 3.773952 | 1810.58823504 | 3.3912 | 1626.35294112 | 3.951936 | 1897.41176448 | 3.932064 | 1887.88235256 | 2.935008 | 1409.50588224 |
24-core 192 GB | 2.785536 | 1338.35294184 | 1.94832 | 936.84705816 | 4.65696 | 2234.11764672 | 4.18608 | 2007.52941168 | 4.878144 | 2342.11764672 | 4.858272 | 2332.5882348 | 3.622752 | 1739.85882336 |
32-core 128 GB | 2.304 | 1106.82352992 | 1.611648 | 774.77647008 | 3.854592 | 1849.41176448 | 3.46176 | 1660.23529408 | 4.034304 | 1936.94117632 | 4.007808 | 1924.23529376 | 2.996352 | 1438.87058816 |
32-core 192 GB | 3.009024 | 1445.64705952 | 2.104704 | 1011.95294048 | 5.031936 | 2414.11764672 | 4.5216 | 2168.47058816 | 5.269248 | 2529.88235264 | 5.242752 | 2517.17647008 | 3.913344 | 1879.34117632 |
32-core 256 GB | 3.714048 | 1784.47058912 | 2.59776 | 1249.12941088 | 6.20928 | 2978.82352896 | 5.58144 | 2676.70588224 | 6.504192 | 3122.82352896 | 6.477696 | 3110.1176464 | 4.830336 | 2319.81176448 |
48-core 192 GB | 3.456 | 1660.23529488 | 2.417472 | 1162.16470512 | 5.781888 | 2774.11764672 | 5.19264 | 2490.35294112 | 6.051456 | 2905.41176448 | 6.011712 | 2886.35294064 | 4.494528 | 2158.30588224 |
48-core 288 GB | 4.513536 | 2168.47058928 | 3.157056 | 1517.92941072 | 7.547904 | 3621.17647008 | 6.7824 | 3252.70588224 | 7.903872 | 3794.82352896 | 7.864128 | 3775.76470512 | 5.870016 | 2819.01176448 |
48-core 384 GB | 5.571072 | 2676.70588368 | 3.89664 | 1873.69411632 | 9.31392 | 4468.23529344 | 8.37216 | 4015.05882336 | 9.756288 | 4684.23529344 | 9.716544 | 4665.1764696 | 7.245504 | 3479.71764672 |
48 core 488GB | 6.716736 | 3227.29411928 | 4.697856 | 2259.10588072 | 11.227104 | 5385.88235208 | 10.0944 | 4840.94117624 | 11.763072 | 5647.76470496 | 5628.70588112 | 8.735616 | 59.43 | 4195.48235248 |
64-core 256 GB | 4.608 | 2213.64705984 | 3.223296 | 1549.55294016 | 7.709184 | 3698.82352896 | 6.92352 | 3320.47058816 | 8.068608 | 3873.88235264 | 8.015616 | 3848.47058752 | 5.992704 | 2877.74117632 |
64-core 384 GB | 6.018048 | 2891.29411904 | 4.209408 | 2023.90588096 | 10.063872 | 4828.23529344 | 9.0432 | 4336.94117632 | 10.538496 | 5059.76470528 | 10.485504 | 5034.35294016 | 7.826688 | 3758.68235264 |
64-core 512 GB | 7.428096 | 3568.94117824 | 5.19552 | 2498.25882176 | 12.41856 | 5957.64705792 | 11.16288 | 5353.41176448 | 13.008384 | 6245.64705792 | 12.955392 | 6220.2352928 | 9.660672 | 4639.62352896 |
88-core 352 GB | 6.336 | 3043.76470728 | - | - | - | - | - | - | - | - | - | - | - | - |
88-core 710 GB | 10.279728 | 4939.05882598 | 7.190064 | 3457.34117402 | 17.185896 | 8244.7058811 | 15.44832 | 7408.58823498 | 18.002304 | 8643.35293992 | 17.92944 | 8608.41176288 | 13.369392 | 6420.77646996 |
Serverless Computing Power Pricing
Billing Unit | CCU Pay-per-Use Pricing (USD/unit/second) | |
| Supported regions: Guangzhou, Shanghai, Beijing, Nanjing, and Chengdu Regions to be supported: Chongqing | Supported regions: Hong Kong (China), Singapore, Silicon Valley, Frankfurt, Tokyo, Virginia, Seoul, Jakarta, São Paulo, and Bangkok |
Serverless Instances | 0.00001397 | 0.00001529 |
Note:
TDSQL-C Compute Unit (CCU) is the computing and billing unit for the serverless mode. A CCU is approximately equal to 1 CPU core and 2 GB memory. The number of CCUs used in each billing cycle is the greater of the number of CPU cores used by the database and 1/2 of the memory size.
You may refer to the Compute Unit to select the appropriate maximum and minimum CCU values, and understand the corresponding storage space limits for each computing power configuration.
Storage Space Pricing
Note:
For the storage space of monthly subscription instances, writes are still allowed when the storage utilization reaches 100%. The excess part will be charged in pay-as-you-go mode.
Primary Storage Price
Guangzhou, Shanghai, Beijing, Nanjing, and Chengdu | Hong Kong (China), Singapore, Silicon Valley, Frankfurt, Tokyo, Virginia, Seoul, Jakarta, São Paulo, and Bangkok | ||
Pay-as-You-Go Price (USD/GB/Hour) | Monthly Subscription Price (USD/GB/Month) | Pay-as-You-Go Price (USD/GB/Hour) | Monthly Subscription Price (USD/GB/Month) |
0.00072 | Below 3,000 GB: 0.20541177 3,000 GB or above: 0.18829412 | 0.000792 | Below 3,000 GB: 0.22447059 3,000 GB or above: 0.20576471 |
Resource Pack Billing Instructions
Clusters with the Serverless instance mode allow you to purchase resource packs to deduct computing and storage resources. Compared to the pay-as-you-go billing mode, resource packs can help you save more costs.
Computing Resource Pack Price
Specification Type | CCU Applicable Range | Unit Price in the Chinese Mainland (USD/10,000 CCUs) | Unit Price in Hong Kong (China), Macao (China), Taiwan (China), and regions outside the Chinese Mainland (USD/10,000 CCUs) |
Basic edition | 400,000 to 10,000,000 (excluding 10,000,000) | 6-month validity period: 0.0119 1-year validity period: 0.0126 | 6-month validity period: 0.013 1-year validity period: 0.0138 |
General edition | 10,000,000 to 40,000,000 (excluding 40,000,000) | 6-month validity period: 0.0112 1-year validity period: 0.0119 | 6-month validity period: 0.0122 1-year validity period: 0.013 |
Enterprise edition | 40,000,000 to 200,000,000 (excluding 200,000,000) | 6-month validity period: 0.0105 1-year validity period: 0.0112 | 6-month validity period: 0.0115 1-year validity period: 0.0122 |
Storage Resource Pack Price
Specification Type | Storage Capacity Applicable Range | Unit Price in the Chinese Mainland (USD/TB) | Unit Price in Hong Kong (China), Macao (China), Taiwan (China), and regions outside the Chinese Mainland (USD/TB) |
Basic edition | 2 TB to 200 TB (excluding 200 TB) | 6-month validity period: 0.2568 1-year validity period: 0.271 | 6-month validity period: 0.2806 1-year validity period: 0.2962 |
General edition | 200 TB to 2,000 TB (excluding 2,000 TB) | 6-month validity period: 0.2425 1-year validity period: 0.2568 | 6-month validity period: 0.265 1-year validity period: 0.2806 |
Enterprise edition | 2,000 TB to 20,000 TB (excluding 20,000 TB) | 6-month validity period: 0.2282 1-year validity period: 0.2425 | 6-month validity period: 0.2494 1-year validity period: 0.265 |
Billing Instructions for Read-only Analysis Engines
The billing formula of TDSQL-C for MySQL read-only analysis engines is as follows:
For single-node selection: Total cost of the read-only analytics engine = Cost of single-node computing resources + Unit price of storage space × Purchased storage capacity
For multi-node selection: Total read-only analysis engine fees = Multi-node total computing resource fees (the fees corresponding to the total computing resources) + Total storage space of all nodes x Unit price of storage space
Note:
The read-only analysis engines do not use TDSQL-C for MySQL shared storage, so storage space needs to be purchased separately.
When selecting multi-node, the number of purchased nodes can be either 2 or 3.
Compute Resource Pricing of Read-Only Analysis Engine
When creating a read-only analytics engine instance, you can specify the number of nodes. A single-node configuration defaults to one node, while multi-node configurations allow you to choose between two or three nodes. The unit price of computing resources varies between single-node and multi-node setups. You may refer to the table below for detailed pricing information.
Instance Type | Compute Node Specification | Beijing, Shanghai, Guangzhou, and Chengdu | Hong Kong (China) | Singapore, Virginia, São Paulo, and Frankfurt | |||
| | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) |
General | 4-core 16 GB single node | 64.28571429 | 0.13392857 | 107.3571429 | 0.22366071 | 156.25 | 0.325 |
General | 8-core 32 GB single node | 100 | 0.20833333 | 167 | 0.34791666 | 312.5 | 0.65 |
General | 16-core 64 GB single node | 200 | 0.41666667 | 334 | 0.69583333 | 625 | 1.3 |
General | 24-core 96 GB single node | 535.71428571 | 1.11607143 | 894.6428571 | 1.86383928 | 937.5 | 1.953125 |
General | 32-core 128 GB single node | 714.28571429 | 1.48809524 | 1192.857143 | 2.48511905 | 1250 | 2.60416667 |
General | 64-core 256 GB single node | 1428.57142857 | 2.97619048 | 2385.714286 | 4.9702381 | 2500 | 5.20833334 |
General | 96-core 384 GB single node | 2142.85714286 | 4.46428571 | 3578.571429 | 7.45535713 | 3750 | 7.8125 |
General | 128-core 512 GB single node | 2857.14285714 | 5.95238095 | 4771.428571 | 9.94047618 | 5000 | 10.41666666 |
Instance Type | Compute Node Specification | Beijing, Shanghai, Guangzhou, and Chengdu | | Hong Kong (China) | | Singapore, Virginia, São Paulo, and Frankfurt | |
| | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) |
General | 4-core 16 GB | 89.28571429 | 0.18571429 | 149.1071429 | 0.31014284 | 156.25 | 0.325 |
General | 8-core 32 GB | 178.5714286 | 0.37142857 | 298.2142857 | 0.62028571 | 312.5 | 0.65 |
General | 12-core 48 GB | 267.8571429 | 0.55714285 | 447.3214286 | 0.93042856 | 468.75 | 0.975 |
General | 16-core 64 GB | 357.1428571 | 0.74285714 | 596.4285714 | 1.24057142 | 625 | 1.3 |
General | 20-core 80 GB | 446.4285715 | 0.92857145 | 745.5357145 | 1.5507142 | 781.25 | 1.625 |
General | 24-core 96 GB | 535.7142857 | 1.11607143 | 894.6428571 | 1.86383928 | 937.5 | 1.953125 |
General | 28-core 112 GB | 625 | 1.3 | 1043.75 | 2.17099988 | 1093.75 | 2.275 |
General | 32-core 128 GB | 714.2857143 | 1.48809524 | 1192.857143 | 2.48511905 | 1250 | 2.60416667 |
General | 36-core 144 GB | 803.5714286 | 1.67142861 | 1341.964286 | 2.79128556 | 1406.25 | 2.925 |
General | 40-core 160 GB | 892.8571429 | 1.85714285 | 1491.071429 | 3.10142855 | 1562.5 | 3.25 |
General | 48-core 192 GB | 1071.428571 | 2.22857142 | 1789.285714 | 3.72171426 | 1875 | 3.9 |
General | 56-core 224 GB | 1250 | 2.6 | 2087.5 | 4.34199997 | 2187.5 | 4.55 |
General | 60-core 240 GB | 1339.285715 | 2.78571425 | 2236.607143 | 4.6521428 | 2343.75 | 4.875 |
General | 64-core 256 GB | 1428.571429 | 2.97619048 | 2385.714286 | 4.9702381 | 2500 | 5.20833334 |
General | 72-core 288 GB | 1607.142857 | 3.34714285 | 2683.928571 | 5.58972856 | 2812.5 | 5.8575 |
General | 80-core 320 GB | 1785.714286 | 3.7142857 | 2982.142857 | 6.2028571 | 3125 | 6.5 |
General | 84-core 336 GB | 1875 | 3.89999995 | 3131.25 | 6.51299992 | 3281.25 | 6.825 |
General | 96-core 384 GB | 2142.857143 | 4.46428571 | 3578.571429 | 7.45535713 | 3750 | 7.8125 |
General | 108-core 432 GB | 2410.714286 | 5.01428565 | 4025.892857 | 8.37385704 | 4218.75 | 8.775 |
General | 112-core 448 GB | 2500 | 5.19999998 | 4175 | 8.68399994 | 4375 | 9.1 |
General | 120-core 480 GB | 2678.571429 | 5.5714285 | 4473.214286 | 9.3042856 | 4687.5 | 9.75 |
General | 128-core 512 GB | 2857.142857 | 5.95238095 | 4771.428571 | 9.94047618 | 5000 | 10.41666666 |
General | 144-core 576 GB | 3214.285713 | 6.68571426 | 5367.857142 | 11.16514278 | 5625 | 11.7 |
General | 160-core 640 GB | 3571.428571 | 7.4285714 | 5964.285714 | 12.4057142 | 6250 | 13 |
General | 168-core 672 GB | 3750 | 7.81250001 | 6262.5 | 13.04687496 | 6562.5 | 13.67187502 |
General | 192-core 768 GB | 4285.714286 | 8.92714285 | 7157.142858 | 14.90832856 | 7500 | 15.6225 |
General | 216-core 864 GB | 4821.428571 | 10.04464287 | 8051.785714 | 16.77455352 | 8437.5 | 17.57812502 |
General | 224-core 896 GB | 5000 | 10.41666668 | 8350.000001 | 17.39583335 | 8750 | 18.22916669 |
General | 240-core 960 GB | 5357.142857 | 11.1428571 | 8946.428571 | 18.6085713 | 9375 | 19.5 |
General | 256-core 1024 GB | 5714.285714 | 11.9057142 | 9542.857142 | 19.88254286 | 10000 | 20.835 |
General | 288-core 1152 GB | 6428.571429 | 13.3928571 | 10735.71429 | 22.36607142 | 11250 | 23.4375 |
General | 320-core 1280 GB | 7142.857143 | 14.8809524 | 11928.57143 | 24.8511905 | 12500 | 26.0416667 |
General | 336-core 1344 GB | 7499.999999 | 15.6 | 12525 | 26.05199982 | 13125 | 27.3 |
General | 360-core 1440 GB | 8035.714285 | 16.73571425 | 13419.64286 | 27.9486428 | 14062.5 | 29.2875 |
General | 384-core 1536 GB | 8571.428571 | 17.8585714 | 14314.28571 | 29.82381429 | 15000 | 31.25249995 |
General | 432-core 1728 GB | 9642.857142 | 20.05714278 | 16103.57143 | 33.49542834 | 16875 | 35.1 |
General | 448-core 1792 GB | 10000 | 20.83333336 | 16700 | 34.7916667 | 17500 | 36.45833338 |
General | 480-core 1920 GB | 10714.28571 | 22.2857142 | 17892.85714 | 37.2171426 | 18750 | 39 |
General | 504-core 2016 GB | 11250 | 23.42999995 | 18787.5 | 39.12809992 | 19687.5 | 41.0025 |
General | 512-core 2048 GB | 11428.57143 | 23.80952384 | 19085.71429 | 39.7619048 | 20000 | 41.66666672 |
General | 576-core 2304 GB | 12857.14286 | 26.78571426 | 21471.42857 | 44.73214278 | 22500 | 46.875 |
General | 640-core 2560 GB | 14285.71429 | 29.7619048 | 23857.14286 | 49.702381 | 25000 | 52.0833334 |
General | 648-core 2592 GB | 14464.28571 | 30.12428565 | 24155.35714 | 50.30755704 | 25312.5 | 52.7175 |
General | 672-core 2688 GB | 15000 | 31.24999997 | 25050 | 52.18749991 | 26250 | 54.6875 |
General | 720-core 2880 GB | 16071.42857 | 33.4285713 | 26839.28571 | 55.8257139 | 28125 | 58.5 |
General | 768-core 3072 GB | 17142.85714 | 35.71428568 | 28628.57143 | 59.64285704 | 30000 | 62.5 |
General | 864-core 3456 GB | 19285.71429 | 40.17857139 | 32207.14286 | 67.09821417 | 33750 | 70.3125 |
General | 896-core 3584 GB | 20000 | 41.66666665 | 33400 | 69.58333326 | 35000 | 72.91666664 |
General | 960-core 3840 GB | 21428.57143 | 44.6428571 | 35785.71429 | 74.5535713 | 37500 | 78.125 |
General | 1024-core 4096 GB | 22857.14286 | 47.6190476 | 38171.42857 | 79.52380944 | 40000 | 83.3333333 |
General | 1152-core 4608 GB | 25714.28572 | 53.5714284 | 42942.85716 | 89.46428568 | 45000 | 93.75 |
General | 1280-core 5120 GB | 28571.42857 | 59.528571 | 47714.28571 | 99.4127143 | 50000 | 104.175 |
Pricing of storage space of read-only analysis engines
Regardless of whether it is a single-node mode or a multi-node mode, the unit price of storage space for the read-only analytics engine remains unchanged.
Beijing, Shanghai, Guangzhou, and Chengdu | Hong Kong (China) | Singapore, Virginia, São Paulo, and Frankfurt | |||
Monthly Subscription Price (USD/GB/Month) | Pay-as-You-Go Price (USD/GB/Hour) | Monthly Subscription Price (USD/GB/Month) | Pay-as-You-Go Price (USD/GB/Hour) | Monthly Subscription Price (USD/GB/Month) | Pay-as-You-Go Price (USD/GB/Hour) |
0.282 | 0.00039167 | 0.3384 | 0.000514 | 0.2286 | 0.000413 |
Value-Added Service Pricing
Value-Added Service Pricing
Backup space price
The backup space is free of charge for now.
Database audit price
Database audit is billed by the amount of audit log storage on a pay-as-you-go basis. Fees are billed for every clock-hour, and usage duration shorter than one hour will be calculated as one hour.
Region | Price (USD/GB/Hour) | |
| Frequent Access Storage | Infrequent Access Storage |
China (including finance regions) | 0.00147059 | 0.00018382 |
Other countries and regions | 0.00220588 | 0.00027573 |
Fees Calculation Example
Note:
The following prices are for demonstration only. The actual prices at the official website shall prevail, which may vary by region, campaign, or policy.
Example 1. Both compute nodes and the storage space are monthly subscribed
You purchased a 1-core 2 GB MEM TDSQL-C for MySQL cluster that contained one instance in Beijing Zone 5 for one month, and used 10 GB of storage space every day.
Monthly compute node fees = 13.23529412 USD/month * 1 month * 1 = 13.23529412 USD
Monthly storage space fees = 0.20541177 USD/GB/month * 10 GB = 2.0541177 USD
Total monthly fees = compute node fees + storage space fees = 13.23529412 USD + 2.0541177 USD = 15.28941182 USD
Example 2. Both compute nodes and the storage space are pay-as-you-go
You purchased a 1-core 2 GB MEM TDSQL-C for MySQL cluster that contained one instance in Beijing Zone 5, and used 10 GB of storage space every day.
Daily compute node fees = 0.049968 USD/hour * 24 hours * 1 = 1.199232 USD
Daily storage space fees = 0.00072 USD/GB/hour * 10 GB * 24 hours = 0.1728 USD
Total daily fees = compute node fees + storage space fees = 1.199232 USD + 0.1728 USD = 1.372032 USD
Example 3. Compute nodes are monthly subscribed while the storage space is pay-as-you-go
You purchased a 1-core 2 GB MEM TDSQL-C for MySQL cluster that contained one instance in Beijing Zone 5, and used 30 GB of storage space in total for 10 days.
Monthly compute node fees = 13.23529412 USD/month * 1 month * 1 = 13.23529412 USD
Storage space fees for 10 days = 0.00072 USD/GB/hour * 30 GB * 24 hours * 10 = 5.184 USD
Total fees after 10 days = compute node fees + storage space fees = 13.23529412 USD + 5.184 USD = 18.4192941 USD
Example 4. Compute nodes are serverless while the storage space is pay-as-you-go
You purchased a serverless database with a minimum computing specification of 0.25 CCU/s and a maximum computing specification of 2 CCU/s in Beijing Zone 5, and used 10 GB of storage space all day and an average of 1.5 CCU/s in one hour every day.
Daily compute node fees = 1.5 * 3600 seconds * 0.00001397 USD/unit/second = 0.075438 USD
Daily storage space fees = 0.00072 USD/GB/hour * 10 GB * 24 hours = 0.1728 USD
Total daily fees = compute node fees + storage space fees = 0.075438 USD + 0.1728 USD = 0.248238 USD
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