China (Ningxia) Region

Pricing for Amazon EC2 and Amazon EMR

With Amazon EMR you only pay for what you use. Amazon EMR pricing is in addition to pricing for EC2 and S3. We charge less where our costs are less, and your cost will depend on the number and type of Amazon EC2 Instances in your job flow and the amount of time it is running.

Instance Type Amazon EC2 Price (per hour) Amazon EMR Price (per hour)
General Purpose - Current Generation
m4.large ¥ 0.8078 ¥ 0.187
m4.xlarge ¥ 1.6157 ¥ 0.372
m4.2xlarge ¥ 3.2313 ¥ 0.745
m4.4xlarge ¥ 6.4626 ¥ 1.49
m4.10xlarge ¥ 16.1566 ¥ 1.68
m4.16xlarge ¥ 25.8505 ¥ 1.68
m5.xlarge ¥ 1.356 ¥ 0.318
m5.2xlarge ¥ 2.711 ¥ 0.637
m5.4xlarge ¥ 5.422 ¥ 1.275
m5.8xlarge ¥ 10.844 ¥ 1.793
m5.12xlarge ¥ 16.266 ¥ 1.793
m5.16xlarge ¥ 21.688 ¥ 1.793
m5.24xlarge ¥ 32.532 ¥ 1.793
m5a.xlarge ¥ 1.219 ¥ 0.286
m5a.2xlarge ¥ 2.437 ¥ 0.572
m5a.4xlarge ¥ 4.874 ¥ 1.143
m5a.8xlarge ¥ 9.749 ¥ 1.793
m5a.12xlarge ¥ 14.623 ¥ 1.793
m5a.16xlarge ¥ 19.497 ¥ 1.793
m5a.24xlarge ¥ 29.246 ¥ 1.793
m5d.xlarge ¥ 1.657 ¥ 0.378
m5d.2xlarge ¥ 3.313 ¥ 0.75
m5d.4xlarge ¥ 6.627 ¥ 1.5
m5d.8xlarge ¥ 13.254 ¥ 1.793
m5d.12xlarge ¥ 19.881 ¥ 1.793
m5d.16xlarge ¥ 26.508 ¥ 1.793
m5d.24xlarge ¥ 39.762 ¥ 1.793
m6g.xlarge ¥ 1.0762 ¥ 0.259
m6g.2xlarge ¥ 2.1524 ¥ 0.511
m6g.4xlarge ¥ 4.3048 ¥ 1.023
m6g.8xlarge ¥ 8.6095 ¥ 2.045
m6g.12xlarge ¥ 12.9143 ¥ 3.068
m6g.16xlarge ¥ 17.2191 ¥ 4.09
m6i.xlarge ¥ 1.35551 ¥ 0.31872
m6i.2xlarge ¥ 2.71102 ¥ 0.63744
m6i.4xlarge ¥ 5.42203 ¥ 1.27488
m6i.8xlarge ¥ 10.84406 ¥ 2.54976
m6i.12xlarge ¥ 16.2661 ¥ 3.82464
m6i.16xlarge ¥ 21.68813 ¥ 5.09952
m6i.24xlarge ¥ 32.53219 ¥ 7.64928
m6i.32xlarge ¥ 43.37626 ¥ 10.19904
Compute Optimized - Current Generation
c4.large ¥ 0.678 ¥ 0.164
c4.xlarge ¥ 1.356 ¥ 0.325
c4.2xlarge ¥ 2.711 ¥ 0.652
c4.4xlarge ¥ 5.422 ¥ 1.304
c4.8xlarge ¥ 10.844 ¥ 1.68
c5.xlarge ¥ 0.986 ¥ 0.283
c5.2xlarge ¥ 1.972 ¥ 0.565
c5.4xlarge ¥ 3.943 ¥ 1.129
c5.9xlarge ¥ 8.872 ¥ 1.793
c5.12xlarge ¥ 11.83 ¥ 1.793
c5.18xlarge ¥ 17.745 ¥ 1.793
c5.24xlarge ¥ 23.66 ¥ 1.793
c5a.xlarge ¥ 0.89 ¥ 0.25564
c5a.2xlarge ¥ 1.78 ¥ 0.51128
c5a.4xlarge ¥ 3.56 ¥ 1.02256
c5a.8xlarge ¥ 7.12 ¥ 1.793
c5a.12xlarge ¥ 10.68 ¥ 1.793
c5a.16xlarge ¥ 14.24 ¥ 1.793
c5a.24xlarge ¥ 21.36 ¥ 1.793
c5d.xlarge ¥ 1.191 ¥ 0.319
c5d.2xlarge ¥ 2.382 ¥ 0.638
c5d.4xlarge ¥ 4.765 ¥ 1.275
c5d.9xlarge ¥ 10.721 ¥ 1.793
c5d.18xlarge ¥ 21.442 ¥ 1.793
c6g.xlarge ¥ 0.7832 ¥ 0.226
c6g.2xlarge ¥ 1.5664 ¥ 0.452
c6g.4xlarge ¥ 3.1327 ¥ 0.903
c6g.8xlarge ¥ 6.2655 ¥ 1.806
c6g.12xlarge ¥ 9.3982 ¥ 2.709
c6g.16xlarge ¥ 12.5309 ¥ 3.612
c6i.xlarge ¥ 0.98582 ¥ 0.2822
c6i.2xlarge ¥ 1.97165 ¥ 0.5644
c6i.4xlarge ¥ 3.9433 ¥ 1.1288
c6i.8xlarge ¥ 7.88659 ¥ 2.2576
c6i.12xlarge ¥ 11.82989 ¥ 3.3864
c6i.16xlarge ¥ 15.77318 ¥ 4.5152
c6i.24xlarge ¥ 23.65978 ¥ 6.7728
c6i.32xlarge ¥ 31.54637 ¥ 9.0304
Accelerated Computing - Current Generation
g4dn.xlarge ¥ 3.711 ¥ 0.87648
g4dn.2xlarge ¥ 5.305 ¥ 1.24832
g4dn.4xlarge ¥ 8.493 ¥ 1.793
g4dn.8xlarge ¥ 15.35 ¥ 1.793
g4dn.12xlarge ¥ 27.596 ¥ 1.793
g4dn.16xlarge ¥ 30.7 ¥ 1.793
p3.2xlarge ¥ 24.249 ¥ 1.793
p3.8xlarge ¥ 96.994 ¥ 1.793
p3.16xlarge ¥ 193.988 ¥ 1.793
Memory Optimized - Current Generation
r4.xlarge ¥ 2.6289 ¥ 0.417
r4.2xlarge ¥ 5.2577 ¥ 0.828
r4.4xlarge ¥ 10.5155 ¥ 1.655
r4.8xlarge ¥ 21.0309 ¥ 1.68
r4.16xlarge ¥ 42.0618 ¥ 1.68
r5.xlarge ¥ 1.766 ¥ 0.419
r5.2xlarge ¥ 3.533 ¥ 0.837
r5.4xlarge ¥ 7.065 ¥ 1.674
r5.8xlarge ¥ 14.13 ¥ 1.793
r5.12xlarge ¥ 21.195 ¥ 1.793
r5.16xlarge ¥ 28.26 ¥ 1.793
r5.24xlarge ¥ 42.39 ¥ 1.793
r5a.xlarge ¥ 1.59 ¥ 0.378
r5a.2xlarge ¥ 3.179 ¥ 0.75
r5a.4xlarge ¥ 6.359 ¥ 1.501
r5a.8xlarge ¥ 12.717 ¥ 1.793
r5a.12xlarge ¥ 19.076 ¥ 1.793
r5a.16xlarge ¥ 25.434 ¥ 1.793
r5a.24xlarge ¥ 38.151 ¥ 1.793
r5d.xlarge ¥ 2.067 ¥ 0.479
r5d.2xlarge ¥ 4.135 ¥ 0.957
r5d.4xlarge ¥ 8.27 ¥ 1.793
r5d.8xlarge ¥ 16.54 ¥ 1.793
r5d.12xlarge ¥ 24.81 ¥ 1.793
r5d.16xlarge ¥ 33.08 ¥ 1.793
r5d.24xlarge ¥ 49.62 ¥ 1.793
r6g.xlarge ¥ 1.4021 ¥ 0.335
r6g.2xlarge ¥ 2.8041 ¥ 0.669
r6g.4xlarge ¥ 5.6082 ¥ 1.339
r6g.8xlarge ¥ 11.2165 ¥ 2.677
r6g.12xlarge ¥ 16.8247 ¥ 4.016
r6g.16xlarge ¥ 22.433 ¥ 5.354
r6i.xlarge ¥ 1.76627 ¥ 0.41832
r6i.2xlarge ¥ 3.53254 ¥ 0.83664
r6i.4xlarge ¥ 7.06507 ¥ 1.67328
r6i.8xlarge ¥ 14.13014 ¥ 3.34656
r6i.12xlarge ¥ 21.19522 ¥ 5.01984
r6i.16xlarge ¥ 28.26029 ¥ 6.69312
r6i.24xlarge ¥ 42.39043 ¥ 10.03968
r6i.32xlarge ¥ 56.52058 ¥ 13.38624
x1.16xlarge ¥ 46.147 ¥ 11.07054
x1.32xlarge ¥ 92.294 ¥ 22.14108
z1d.xlarge ¥ 2.684 ¥ 0.618
z1d.2xlarge ¥ 5.367 ¥ 1.235
z1d.3xlarge ¥ 8.051 ¥ 1.793
z1d.6xlarge ¥ 16.102 ¥ 1.793
z1d.12xlarge ¥ 32.204 ¥ 1.793
Storage Optimized - Current Generation
d2.xlarge ¥ 5.401 ¥ 1.077
d2.2xlarge ¥ 10.803 ¥ 1.68
d2.4xlarge ¥ 21.606 ¥ 1.68
d2.8xlarge ¥ 43.212 ¥ 1.68
i3.xlarge ¥ 2.341 ¥ 0.518
i3.2xlarge ¥ 4.683 ¥ 1.036
i3.4xlarge ¥ 9.365 ¥ 1.793
i3.8xlarge ¥ 18.731 ¥ 1.793
i3.16xlarge ¥ 37.461 ¥ 1.793
i3en.xlarge ¥ 3.382 ¥ 0.75032
i3en.2xlarge ¥ 6.764 ¥ 1.50064
i3en.3xlarge ¥ 10.146 ¥ 1.793
i3en.6xlarge ¥ 20.292 ¥ 1.793
i3en.12xlarge ¥ 40.583 ¥ 1.793
i3en.24xlarge ¥ 81.166 ¥ 1.793

You are charged per-second from the time your cluster starts until it is terminated, with a one-minute minimum.

Amazon EMR Additional Pricing Details

Amazon S3 is billed separately. (Many customers store their input and output data in S3; others store all of the data locally on HDFS.) The more data you store, the lower the monthly price per GB.

China (Beijing) Region

Pricing for Amazon EC2 and Amazon EMR

With Amazon EMR you only pay for what you use. Amazon EMR pricing is in addition to pricing for EC2 and S3. We charge less where our costs are less, and your cost will depend on the number and type of Amazon EC2 Instances in your job flow and the amount of time it is running.

Instance Type Amazon EC2 Price (per hour) Amazon EMR Price (per hour)
General Purpose - Current Generation
m4.large ¥ 1.405 ¥ 0.187
m4.xlarge ¥ 2.815 ¥ 0.372
m4.2xlarge ¥ 5.624 ¥ 0.745
m4.4xlarge ¥ 11.248 ¥ 1.49
m4.10xlarge ¥ 28.121 ¥ 1.68
m4.16xlarge ¥ 44.995 ¥ 1.793
m5.xlarge ¥ 2.026 ¥ 0.318
m5.2xlarge ¥ 4.053 ¥ 0.637
m5.4xlarge ¥ 8.106 ¥ 1.275
m5.8xlarge ¥ 16.211 ¥ 1.793
m5.12xlarge ¥ 24.317 ¥ 1.793
m5.16xlarge ¥ 32.423 ¥ 1.793
m5.24xlarge ¥ 48.634 ¥ 1.793
m5a.xlarge ¥ 1.821 ¥ 0.286
m5a.2xlarge ¥ 3.642 ¥ 0.572
m5a.4xlarge ¥ 7.284 ¥ 1.143
m5a.8xlarge ¥ 14.568 ¥ 1.793
m5a.12xlarge ¥ 21.852 ¥ 1.793
m5a.16xlarge ¥ 29.137 ¥ 1.793
m5a.24xlarge ¥ 43.705 ¥ 1.793
m5d.xlarge ¥ 2.547 ¥ 0.378
m5d.2xlarge ¥ 5.093 ¥ 0.75
m5d.4xlarge ¥ 10.187 ¥ 1.5
m5d.8xlarge ¥ 20.374 ¥ 1.793
m5d.12xlarge ¥ 30.561 ¥ 1.793
m5d.16xlarge ¥ 40.747 ¥ 1.793
m5d.24xlarge ¥ 61.121 ¥ 1.793
m6g.xlarge ¥ 1.6074 ¥ 0.259
m6g.2xlarge ¥ 3.2149 ¥ 0.511
m6g.4xlarge ¥ 6.4298 ¥ 1.023
m6g.8xlarge ¥ 12.8595 ¥ 2.045
m6g.12xlarge ¥ 19.2893 ¥ 3.068
m6g.16xlarge ¥ 25.7191 ¥ 4.09
m6i.xlarge ¥ 2.02642 ¥ 0.31872
m6i.2xlarge ¥ 4.05283 ¥ 0.63744
m6i.4xlarge ¥ 8.10566 ¥ 1.27488
m6i.8xlarge ¥ 16.21133 ¥ 2.54976
m6i.12xlarge ¥ 24.31699 ¥ 3.82464
m6i.16xlarge ¥ 32.42266 ¥ 5.09952
m6i.24xlarge ¥ 48.63398 ¥ 7.64928
m6i.32xlarge ¥ 64.84531 ¥ 10.19904
General Purpose - Previous Generation
m1.small ¥ 0.442 ¥ 0.069
m3.xlarge ¥ 3.471 ¥ 0.436
m3.2xlarge ¥ 6.942 ¥ 0.871
Compute Optimized - Current Generation
c4.large ¥ 1.134 ¥ 0.164
c4.xlarge ¥ 2.268 ¥ 0.325
c4.2xlarge ¥ 4.535 ¥ 0.652
c4.4xlarge ¥ 9.071 ¥ 1.304
c4.8xlarge ¥ 18.141 ¥ 1.68
c5.xlarge ¥ 1.479 ¥ 0.283
c5.2xlarge ¥ 2.957 ¥ 0.565
c5.4xlarge ¥ 5.915 ¥ 1.129
c5.9xlarge ¥ 13.309 ¥ 1.793
c5.12xlarge ¥ 17.745 ¥ 1.793
c5.18xlarge ¥ 26.617 ¥ 1.793
c5.24xlarge ¥ 35.49 ¥ 1.793
c5a.xlarge ¥ 1.328 ¥ 0.25564
c5a.2xlarge ¥ 2.656 ¥ 0.51128
c5a.4xlarge ¥ 5.312 ¥ 1.02256
c5a.8xlarge ¥ 10.625 ¥ 1.793
c5a.12xlarge ¥ 15.937 ¥ 1.793
c5a.16xlarge ¥ 21.25 ¥ 1.793
c5a.24xlarge ¥ 31.875 ¥ 1.793
c5d.xlarge ¥ 1.821 ¥ 0.319
c5d.2xlarge ¥ 3.642 ¥ 0.638
c5d.4xlarge ¥ 7.284 ¥ 1.275
c5d.9xlarge ¥ 16.389 ¥ 1.793
c5d.12xlarge ¥ 21.852 ¥ 1.793
c5d.18xlarge ¥ 32.779 ¥ 1.793
c5d.24xlarge ¥ 43.705 ¥ 1.793
c6g.xlarge ¥ 1.172 ¥ 0.226
c6g.2xlarge ¥ 2.3441 ¥ 0.452
c6g.4xlarge ¥ 4.6881 ¥ 0.903
c6g.8xlarge ¥ 9.3763 ¥ 1.806
c6g.12xlarge ¥ 14.0644 ¥ 2.709
c6g.16xlarge ¥ 18.7526 ¥ 3.612
c6i.xlarge ¥ 1.47874 ¥ 0.2822
c6i.2xlarge ¥ 2.95747 ¥ 0.5644
c6i.4xlarge ¥ 5.91494 ¥ 1.1288
c6i.8xlarge ¥ 11.82989 ¥ 2.2576
c6i.12xlarge ¥ 17.74483 ¥ 3.3864
c6i.16xlarge ¥ 23.65978 ¥ 4.5152
c6i.24xlarge ¥ 35.48966 ¥ 6.7728
c6i.32xlarge ¥ 47.31955 ¥ 9.0304
Compute Optimized - Previous Generation
c3.xlarge ¥ 2.109 ¥ 0.33
c3.2xlarge ¥ 4.217 ¥ 0.654
c3.4xlarge ¥ 8.434 ¥ 1.307
c3.8xlarge ¥ 16.869 ¥ 1.68
Accelerated Computing - Current Generation
g3.4xlarge ¥ 16.2045 ¥ 1.793
g3.8xlarge ¥ 32.409 ¥ 1.793
g3.16xlarge ¥ 64.8179 ¥ 1.793
g3s.xlarge ¥ 11.282 ¥ 1.248
g4dn.xlarge ¥ 5.223 ¥ 0.87648
g4dn.2xlarge ¥ 7.468 ¥ 1.24832
g4dn.4xlarge ¥ 11.956 ¥ 1.793
g4dn.8xlarge ¥ 21.609 ¥ 1.793
g4dn.12xlarge ¥ 38.849 ¥ 1.793
g4dn.16xlarge ¥ 43.218 ¥ 1.793
p2.xlarge ¥ 10.612 ¥ 1.494
p2.8xlarge ¥ 84.896 ¥ 1.793
p2.16xlarge ¥ 169.792 ¥ 1.793
p3.2xlarge ¥ 36.078 ¥ 1.793
p3.8xlarge ¥ 144.314 ¥ 1.793
p3.16xlarge ¥ 288.627 ¥ 1.793
Memory Optimized - Current Generation
r4.xlarge ¥ 3.924 ¥ 0.417
r4.2xlarge ¥ 7.842 ¥ 0.828
r4.4xlarge ¥ 15.683 ¥ 1.655
r4.8xlarge ¥ 31.373 ¥ 1.68
r4.16xlarge ¥ 62.746 ¥ 1.68
r5.xlarge ¥ 2.437 ¥ 0.419
r5.2xlarge ¥ 4.874 ¥ 0.837
r5.4xlarge ¥ 9.749 ¥ 1.674
r5.8xlarge ¥ 19.497 ¥ 1.793
r5.12xlarge ¥ 29.246 ¥ 1.793
r5.16xlarge ¥ 38.995 ¥ 1.793
r5.24xlarge ¥ 58.492 ¥ 1.793
r5a.xlarge ¥ 2.193 ¥ 0.378
r5a.2xlarge ¥ 4.387 ¥ 0.75
r5a.4xlarge ¥ 8.774 ¥ 1.501
r5a.8xlarge ¥ 17.548 ¥ 1.793
r5a.12xlarge ¥ 26.322 ¥ 1.793
r5a.16xlarge ¥ 35.095 ¥ 1.793
r5a.24xlarge ¥ 52.643 ¥ 1.793
r5d.xlarge ¥ 2.957 ¥ 0.479
r5d.2xlarge ¥ 5.915 ¥ 0.957
r5d.4xlarge ¥ 11.83 ¥ 1.793
r5d.8xlarge ¥ 23.66 ¥ 1.793
r5d.12xlarge ¥ 35.49 ¥ 1.793
r5d.16xlarge ¥ 47.32 ¥ 1.793
r5d.24xlarge ¥ 70.979 ¥ 1.793
r6g.xlarge ¥ 1.9333 ¥ 0.335
r6g.2xlarge ¥ 3.8666 ¥ 0.669
r6g.4xlarge ¥ 7.7332 ¥ 1.339
r6g.8xlarge ¥ 15.4665 ¥ 2.677
r6g.12xlarge ¥ 23.1997 ¥ 4.016
r6g.16xlarge ¥ 30.933 ¥ 5.354
r6gd.xlarge ¥ 2.3413 ¥ 0.382464
r6gd.2xlarge ¥ 4.6827 ¥ 0.764928
r6gd.4xlarge ¥ 9.3653 ¥ 1.529856
r6gd.8xlarge ¥ 18.7307 ¥ 3.059712
r6gd.12xlarge ¥ 28.096 ¥ 4.589568
r6gd.16xlarge ¥ 37.4613 ¥ 6.119424
r6i.xlarge ¥ 2.43718 ¥ 0.41832
r6i.2xlarge ¥ 4.87435 ¥ 0.83664
r6i.4xlarge ¥ 9.7487 ¥ 1.67328
r6i.8xlarge ¥ 19.49741 ¥ 3.34656
r6i.12xlarge ¥ 29.24611 ¥ 5.01984
r6i.16xlarge ¥ 38.99482 ¥ 6.69312
r6i.24xlarge ¥ 58.49222 ¥ 10.03968
r6i.32xlarge ¥ 77.98963 ¥ 13.38624
x1.16xlarge ¥ 68.876 ¥ 11.07054
x1.32xlarge ¥ 137.752 ¥ 22.14108
Memory Optimized - Previous Generation
r3.xlarge ¥ 4.9018 ¥ 0.56
r3.2xlarge ¥ 9.8036 ¥ 1.12
r3.4xlarge ¥ 19.6073 ¥ 1.68
r3.8xlarge ¥ 39.2147 ¥ 1.68
Storage Optimized - Current Generation
d2.xlarge ¥ 6.673 ¥ 1.077
d2.2xlarge ¥ 13.345 ¥ 1.68
d2.4xlarge ¥ 26.69 ¥ 1.68
d2.8xlarge ¥ 53.38 ¥ 1.68
i3.xlarge ¥ 3.122 ¥ 0.51792
i3.2xlarge ¥ 6.244 ¥ 0.517
i3.4xlarge ¥ 12.487 ¥ 1.035
i3.8xlarge ¥ 24.974 ¥ 1.793
i3.16xlarge ¥ 49.948 ¥ 1.793
i3en.xlarge ¥ 4.525 ¥ 0.75032
i3en.2xlarge ¥ 9.05 ¥ 1.50064
i3en.3xlarge ¥ 13.576 ¥ 1.793
i3en.6xlarge ¥ 27.151 ¥ 1.793
i3en.12xlarge ¥ 54.302 ¥ 1.793
i3en.24xlarge ¥ 108.605 ¥ 1.793
Storage Optimized - Previous Generation
i2.xlarge ¥ 10.204 ¥ 1.325
i2.2xlarge ¥ 20.407 ¥ 1.68
i2.4xlarge ¥ 40.815 ¥ 1.68
i2.8xlarge ¥ 81.63 ¥ 1.68

You are charged per-second from the time your cluster starts until it is terminated, with a one-minute minimum.

Amazon EMR Additional Pricing Details

Amazon S3 is billed separately. (Many customers store their input and output data in S3; others store all of the data locally on HDFS.) The more data you store, the lower the monthly price per GB.

Pricing for Amazon EMR on Amazon EKS

This pricing is for Amazon EMR on Amazon EKS clusters.

The Amazon EMR price is in addition to the Amazon EKS pricing or any other services used with Amazon EKS. You can run EKS on Amazon Web Services using either EC2 or Amazon Fargate. If you are using Amazon EC2 (including with EKS managed node groups), you pay for Amazon Web Services resources (e.g., EC2 instances or Amazon EBS volumes) you create to run your Kubernetes worker nodes. See detailed pricing information on the Amazon EC2 pricing page. If you are using Amazon Fargate, pricing is calculated based on the vCPU and memory resources used from the time you start to download your container image until the Amazon EKS pod terminates, rounded up to the nearest second. A minimum charge of 1 minute applies. See detailed pricing information on the Amazon Fargate pricing page.

Amazon EMR pricing on EKS is calculated based on the vCPU and memory resources used from the time you start to download your EMR application image until the Amazon EKS Pod terminates, rounded up to the nearest second. Pricing is based on requested vCPU and memory resources for the Task or Pod. 

Type China (Ningxia) Region China (Beijing) Region
Per vCPU per Hour ¥ 0.0902975 ¥ 0.0902975
Per GB per Hour ¥ 0.00995675 ¥ 0.00995675

Pricing Example

Pricing based on China (Beijing) Region pricing.

Suppose you are running an EMR-Spark application deployed on Amazon EKS. In this case, EKS gets its compute capacity using r5.2xlarge EC2 instances (8 vCPU, 64 GB RAM). Let’s assume that the EKS cluster has 100 nodes, totaling 800 vCPU, and 6400GB of total memory. Let’s assume that that application utilizes 100 VCPUs and 300GB of memory for 30 minutes.

Total EMR uplift charges for the job:

  • Total Uplift on vCPU = (100 * ¥0.0902975 * 0.5) = (number of vCPU * per vCPU-hours rate * job runtime in hour) = ¥4.51
  • Total Uplift on memory = (300 * ¥0.00995675 * 0.5) = (amount of memory used * per GB-hours rate * job runtime in hour) = ¥1.49
  • Total EMR Uplift for the EMR job = ¥6.01

Additional Costs

You pay ¥0.688 per hour for each Amazon EKS cluster that you create. You can use a single Amazon EKS cluster to run multiple applications by taking advantage of Kubernetes namespaces and IAM security policies. You can run EKS on Amazon Web Services using either Amazon EC2 or Amazon Fargate.

If you are using EC2 (including with EKS managed node groups), you pay for Amazon Web Services resources (e.g., EC2 instances or EBS volumes) you create to run your Kubernetes worker nodes. You only pay for what you use, as you use it. There are no minimum fees and no upfront commitments. See detailed pricing information on the Amazon EC2 pricing page.

If you are using Amazon Fargate, pricing is calculated based on the vCPU and memory resources used from the time you start to download your container image until the Amazon EKS pod terminates, rounded up to the nearest second. A minimum charge of 1 minute applies. See detailed pricing information on the Amazon Fargate pricing page