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TDSQL-C for MySQL
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    Product Pricing

    Last updated: 2024-06-24 11:25:40
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      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 are charged in your selected billing mode: monthly subscription (prepaid storage space) or pay-as-you-go (postpaid by hourly storage space usage).
      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.
      Instance Type: General
      Instance Type: Dedicated
      Compute Node Specification
      Guangzhou, Shanghai, Beijing, Nanjing, Chengdu, and Chongqing
      Hong Kong (China) and Taipei (China)
      Beijing Finance
      Silicon Valley, Frankfurt, and Virginia
      Singapore and Seoul
      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)
      1 core 1GB
      0.018396
      8.82352942
      0.026
      12.53
      0.0234
      11.24
      0.027252
      13.12
      0.026928
      12.95
      0.020268
      9.75
      1-core 2 GB MEM
      0.027576
      13.23529412
      0.033444
      16.06
      0.030024
      14.42
      0.034956
      16.83
      0.034632
      16.66
      0.025992
      12.5
      2-core 4 GB
      0.040032
      19.2152
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      2-core 8 GB MEM
      0.057744
      27.6952
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      2-core 16 GB MEM
      0.093168
      44.6552
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      4-core 8 GB
      0.080064
      38.4304
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      4-core 16GB
      0.115488
      55.3904
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      4-core 24 GB MEM
      0.150912
      72.3504
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      4-core 32 GB MEM
      0.186336
      89.3104
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      8-core 16 GB MEM
      0.240192
      115.232
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      8-core 32GB
      0.346176
      166.112
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      8-core 48 GB MEM
      0.45216
      216.992
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      8-core 64 GB MEM
      0.558144
      267.872
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      12-core 48 GB MEM
      0.519264
      249.168
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      12-core 72 GB MEM
      0.67824
      325.488
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      12-core 96 GB MEM
      0.837216
      401.808
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      16-core 64GB
      0.692352
      332.224
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      16-core 96GB
      0.90432
      433.984
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      16-core 128GB
      1.116288
      535.744
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      Compute Node Specification
      Guangzhou, Shanghai, Beijing, and Nanjing
      Hong Kong (China) and Taipei (China)
      Beijing Finance
      Silicon Valley, Frankfurt, and Virginia
      Singapore and Seoul
      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)
      2-core 4 GB
      0.099936
      48.00000002
      0.167328
      80.29411764
      0.15012
      72
      0.17496
      84
      0.173304
      83.20588234
      0.12996
      62.4
      2-core 8 GB MEM
      0.144
      69.17647062
      0.240912
      115.58823528
      0.21636
      103.76470588
      0.252144
      121.05882352
      0.250488
      120.26470586
      0.187272
      89.92941176
      2-core 16 GB MEM
      0.232128
      111.52941182
      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
      0.334656
      160.58823528
      0.30024
      144
      0.34992
      168
      0.346608
      166.41176468
      0.25992
      124.8
      4-core 16GB
      0.288
      138.35294124
      0.481824
      231.17647056
      0.43272
      207.52941176
      0.504288
      242.11764704
      0.500976
      240.52941172
      0.374544
      179.85882352
      4-core 24 GB MEM
      0.376128
      180.70588244
      0.628992
      301.76470584
      0.5652
      271.05882352
      0.658656
      316.23529408
      0.655344
      314.64705876
      0.489168
      234.91764704
      4-core 32 GB MEM
      0.464256
      223.05882364
      0.77616
      372.35294112
      0.69768
      334.58823528
      0.813024
      390.35294112
      0.809712
      388.7647058
      0.603792
      289.97647056
      8-core 16 GB MEM
      0.399744
      192.00000008
      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
      0.963648
      462.35294112
      0.86544
      415.05882352
      1.008576
      484.23529408
      1.001952
      481.05882344
      0.749088
      359.71764704
      8-core 48 GB MEM
      0.752256
      361.41176488
      1.257984
      603.52941168
      1.1304
      542.11764704
      1.317312
      632.47058816
      1.310688
      629.29411752
      0.978336
      469.83529408
      8-core 64 GB MEM
      0.928512
      446.11764728
      1.55232
      744.70588224
      1.39536
      669.17647056
      1.626048
      780.70588224
      1.619424
      777.5294116
      1.207584
      579.95294112
      12-core 48 GB MEM
      0.864
      415.05882372
      1.445472
      693.52941168
      1.29816
      622.58823528
      1.512864
      726.35294112
      1.502928
      721.58823516
      1.123632
      539.57647056
      12-core 72 GB MEM
      1.128384
      542.11764732
      1.886976
      905.29411752
      1.6956
      813.17647056
      1.975968
      948.70588224
      1.966032
      943.94117628
      1.467504
      704.75294112
      12-core 96 GB MEM
      1.392768
      669.17647092
      2.32848
      1117.05882336
      2.09304
      1003.76470584
      2.439072
      1171.05882336
      2.429136
      1166.2941174
      1.811376
      869.92941168
      16-core 32 GB MEM
      0.799488
      384.00000016
      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
      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
      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
      3.10464
      1489.41176448
      2.79072
      1338.35294112
      3.252096
      1561.41176448
      3.238848
      1555.0588232
      2.415168
      1159.90588224
      24-core 96 GB MEM
      1.728
      830.11764744
      3.10464
      1387.05882336
      2.59632
      1245.17647056
      3.025728
      1452.70588224
      3.005856
      1443.17647032
      2.247264
      1079.15294112
      24-core 144 GB MEM
      2.256768
      1084.23529464
      3.773952
      1810.58823504
      3.3912
      1626.35294112
      3.951936
      1897.41176448
      3.932064
      1887.88235256
      2.935008
      1409.50588224
      24-core 192 GB MEM
      2.785536
      1338.35294184
      4.65696
      2234.11764672
      4.18608
      2007.52941168
      4.878144
      2342.11764672
      4.858272
      2332.5882348
      3.622752
      1739.85882336
      32-core 128 GB MEM
      2.304
      1106.82352992
      3.854592
      1849.41176448
      3.46176
      1660.23529408
      4.034304
      1936.94117632
      4.007808
      1924.23529376
      2.996352
      1438.87058816
      32-core 192 GB MEM
      3.009024
      1445.64705952
      5.031936
      2414.11764672
      4.5216
      2168.47058816
      5.269248
      2529.88235264
      5.242752
      2517.17647008
      3.913344
      1879.34117632
      32-core 256 GB MEM
      3.714048
      1784.47058912
      6.20928
      2978.82352896
      5.58144
      2676.70588224
      6.504192
      3122.82352896
      6.477696
      3110.1176464
      4.830336
      2319.81176448
      48-core 192 GB MEM
      3.456
      1660.23529488
      5.781888
      2774.11764672
      5.19264
      2490.35294112
      6.051456
      2905.41176448
      6.011712
      2886.35294064
      4.494528
      2158.30588224
      48-core 288 GB MEM
      4.513536
      2168.47058928
      7.547904
      3621.17647008
      6.7824
      3252.70588224
      7.903872
      3794.82352896
      7.864128
      3775.76470512
      5.870016
      2819.01176448
      48-core 384 GB MEM
      5.571072
      2676.70588368
      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
      11.227104
      5385.88235208
      10.0944
      4840.94117624
      11.763072
      5647.76470496
      5628.70588112
      8.735616
      59.43
      4195.48235248
      64-core 256 GB MEM
      4.608
      2213.64705984
      7.709184
      3698.82352896
      6.92352
      3320.47058816
      8.068608
      3873.88235264
      8.015616
      3848.47058752
      5.992704
      2877.74117632
      64-core 384 GB MEM
      6.018048
      2891.29411904
      10.063872
      4828.23529344
      9.0432
      4336.94117632
      10.538496
      5059.76470528
      10.485504
      5034.35294016
      7.826688
      3758.68235264
      64-core 512 GB MEM
      7.428096
      3568.94117824
      12.41856
      5957.64705792
      11.16288
      5353.41176448
      13.008384
      6245.64705792
      12.955392
      6220.2352928
      9.660672
      4639.62352896
      88-core 352 GB MEM
      6.336
      3043.76470728
      -
      -
      -
      -
      -
      -
      -
      -
      -
      -
      88-core 710 GB MEM
      10.279728
      4939.05882598
      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, and Nanjing
      Regions to be supported: Chengdu and Chongqing
      Supported regions: Hong Kong (China), Singapore, Silicon Valley, and Virginia
      Regions to be supported: Frankfurt
      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 can refer to compute unit to select the corresponding maximum and minimum CCU values. The storage space upper limit is the same as the maximum storage space corresponding to the common compute node specifications as described in Product Specifications.

      Storage Space Pricing

      Guangzhou, Shanghai, Beijing, Nanjing, Beijing Finance, Chengdu, and Chongqing
      Hong Kong (China), Taipei (China), Singapore, Silicon Valley, Frankfurt, Tokyo, Virginia, and Seoul
      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

      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
      For more information, see Database Audit Billing Overview.

      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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