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PolarDB:Pay-as-you-go prices of compute nodes

Last Updated:Mar 06, 2025

The compute nodes of PolarDB for PostgreSQL (Compatible with Oracle) clusters can be billed based on the pay-as-you-go or subscription billing method. The price of compute nodes varies based on the billing method and specifications. This topic describes the pay-as-you-go prices of compute nodes.

Note
  • The following tables describe the prices of a single compute node.

  • By default, a PolarDB cluster of Cluster Edition contains one primary node and one read-only node.

Table 1. Pay-as-you-go prices (hourly rates) of a compute node (Unit: USD per month)

Node type

CPU and memory

Regions in the Chinese mainland

China (Hong Kong)

US (Silicon Valley)

US (Virginia)

Germany (Frankfurt)

Japan (Tokyo)

South Korea (Seoul)

Singapore

Malaysia (Kuala Lumpur)

Indonesia (Jakarta)

Philippines

polar.o.x4.medium

2 cores, 8 GB memory

0.118

0.152

0.166

0.135

0.181

0.173

0.173

0.207

0.207

0.195

0.207

polar.o.x4.large

4 cores, 16 GB memory

0.420

0.692

0.651

0.546

0.714

0.671

0.671

0.797

0.797

0.741

0.797

polar.o.x4.xlarge

8 cores, 32 GB memory

0.840

1.382

1.301

1.091

1.426

1.342

1.342

1.594

1.594

1.469

1.594

polar.o.x8.xlarge

8 cores, 64 GB memory

1.343

1.745

1.678

1.342

1.762

1.720

1.720

2.012

2.012

1.872

2.012

polar.o.x8.2xlarge

16 cores, 128 GB memory

2.683

3.489

3.354

2.683

3.522

3.439

3.439

4.025

4.025

3.731

4.025

polar.o.x8.4xlarge

32 cores, 256 GB memory

5.366

6.977

6.708

5.366

7.043

6.876

6.876

8.050

8.050

7.462

8.05

polar.o.x4.6xlarge

48 cores, 192 GB memory

5.63

9.84

7.03

7.03

9.56

9.84

9

9

7.31

9

9

polar.o.x8.6xlarge

48 Cores, 384 GB memory

7.6

13.3

9.5

9.5

12.92

13.3

12.16

12.16

9.88

12.16

12.16

polar.o.x8.8xlarge

64 cores, 512 GB memory

10.740

16.100

13.420

11.810

15.50

15.130

15.130

16.100

16.100

14.930

16.1

polar.o.x8.12xlarge

88 cores, 710 GB memory

14.756

19.183

18.446

14.756

19.577

18.906

18.906

22.134

22.134

20.514

22.134