借助 Amazon OpenSearch Service,您可以轻松搜索、分析、可视化和保护高达 PB 字节的文本和非结构化数据。使用 Amazon OpenSearch Service,您只需为使用的内容付费。没有最低费用,也没有使用要求。您的收费基于三个维度:实例小时数,即实例可供您使用的小时数;所需存储量;以及 Amazon OpenSearch Service 传入和传出的数据。存储定价视您选择的存储层和实例类型而定。
免费套餐
Amazon OpenSearch Service 免费套餐仅在由光环新网运营的亚马逊云科技中国(北京)区域中推出。免费套餐包括每月 750 小时的单可用区 t2.small.search 或 t3.small.search 实例,以及每月 10GB 可选 EBS 存储(磁介质或通用型存储)。
中国(宁夏)区域
按需实例定价
vCPU | ECU | 内存 (GiB) | 实例存储 (GB) | 价格(宁夏) | |
通用型实例 | |||||
t3.small.search | 2 | 变量 | 2 | 仅限 EBS | ¥ 0.270 |
t3.medium.search | 2 | 变量 | 4 | 仅限 EBS | ¥ 0.540 |
t2.small.search | 1 | 变量 | 2 | 仅限 EBS | ¥ 0.295 |
t2.medium.search | 2 | 变量 | 4 | 仅限 EBS | ¥ 0.589 |
m6g.large.search | 2 | 8 GiB | 仅限 EBS | ¥ 0.893 | |
m6g.xlarge.search | 4 | 16 GiB | 仅限 EBS | ¥ 1.786 | |
m6g.2xlarge.search | 8 | 32 GiB | 仅限 EBS | ¥ 3.573 | |
m6g.4xlarge.search | 16 | 64 GiB | 仅限 EBS | ¥ 7.146 | |
m6g.8xlarge.search | 32 | 128 GiB | 仅限 EBS | ¥ 14.292 | |
m6g.12xlarge.search | 64 | 192 GiB | 仅限 EBS | ¥ 21.438 | |
m5.large.search | 2 | 8 | 仅限 EBS | ¥ 1.000 | |
m5.xlarge.search | 4 | 16 | 仅限 EBS | ¥ 2.000 | |
m5.2xlarge.search | 8 | 32 | 仅限 EBS | ¥ 3.999 | |
m5.4xlarge.search | 16 | 64 | 仅限 EBS | ¥ 7.997 | |
m5.12xlarge.search | 48 | 192 | 仅限 EBS | ¥ 23.992 | |
m4.large.search | 2 | 6.5 | 8 GiB | 仅限 EBS | ¥ 1.222 |
m4.xkarge.search | 4 | 13 | 16 GiB | 仅限 EBS | ¥ 2.44 |
m4.2xlarge.search | 8 | 26 | 32 GiB | 仅限 EBS | ¥ 4.883 |
m4.4xlarge.search | 16 | 52 | 64 GiB | 仅限 EBS | ¥ 9.775 |
m4.10xlarge.search | 40 | 124.5 | 160 GiB | 仅限 EBS | ¥ 24.434 |
内存优化型实例 | |||||
r6g.large.search | 2 | 16 GiB | 仅限 EBS | ¥ 1.164 | |
r6g.xlarge.search | 4 | 32 GiB | 仅限 EBS | ¥ 2.327 | |
r6g.2xlarge.search | 8 | 64 GiB | 仅限 EBS | ¥ 4.655 | |
r6g.4xlarge.search | 16 | 128 GiB | 仅限 EBS | ¥ 9.310 | |
r6g.8xlarge.search | 32 | 256 GiB | 仅限 EBS | ¥ 18.619 | |
r6g.12xlarge.search | 48 | 384 GiB | 仅限 EBS | ¥ 27.929 | |
r5.large.search | 2 | 9 | 16 | 仅限 EBS | ¥ 1.302 |
r5.xlarge.search | 4 | 19 | 32 | 仅限 EBS | ¥ 2.605 |
r5.2xlarge.search | 8 | 38 | 64 | 仅限 EBS | ¥ 5.211 |
r5.4xlarge.search | 16 | 71 | 128 | 仅限 EBS | ¥ 10.421 |
r5.12xlarge.search | 48 | 173 | 384 | 仅限 EBS | ¥ 31.263 |
r4.large.search | 2 | 7 | 15.25 GiB | 仅限 EBS | ¥ 1.934 |
r4.xlarge.search | 4 | 13.5 | 30.5 GiB | 仅限 EBS | ¥ 3.874 |
r4.2xlarge.search | 8 | 27 | 61 GiB | 仅限 EBS | ¥ 7.753 |
r4.4xlarge.search | 16 | 53 | 122 GiB | 仅限 EBS | ¥ 15.495 |
r4.8xlarge.search | 32 | 99 | 244 GiB | 仅限 EBS | ¥ 31.006 |
r4.16xlarge.search | 64 | 195 | 488 GiB | 仅限 EBS | ¥ 62.013 |
计算优化型实例 | |||||
c6g.large.search | 2 | 4 GiB | 仅限 EBS | ¥ 0.650 | |
c6g.xlarge.search | 4 | 8 GiB | 仅限 EBS | ¥ 1.300 | |
c6g.2xlarge.search | 8 | 16 GiB | 仅限 EBS | ¥ 2.600 | |
c6g.4xlarge.search | 16 | 32 GiB | 仅限 EBS | ¥ 5.200 | |
c6g.8xlarge.search | 32 | 64 GiB | 仅限 EBS | ¥ 10.401 | |
c6g.12xlarge.search | 48 | 96 GiB | 仅限 EBS | ¥ 15.601 | |
c5.large.search | 2 | 9 | 4 | 仅限 EBS | ¥ 0.727 |
c5.xlarge.search | 4 | 17 | 8 | 仅限 EBS | ¥ 1.454 |
c5.2xlarge.search | 8 | 34 | 16 | 仅限 EBS | ¥ 2.909 |
c5.4xlarge.search | 16 | 68 | 32 | 仅限 EBS | ¥ 5.816 |
c5.9xlarge.search | 36 | 141 | 72 | 仅限 EBS | ¥ 13.086 |
c5.18xlarge.search | 72 | 281 | 144 | 仅限 EBS | ¥ 26.174 |
c4.large.search | 2 | 8 | 3.75 GiB | 仅限 EBS | ¥ 1.007 |
c4.xlarge.search | 4 | 16 | 7.5 GiB | 仅限 EBS | ¥ 2.01 |
c4.2xlarge.search | 8 | 31 | 15 GiB | 仅限 EBS | ¥ 4.013 |
c4.4xlarge.search | 16 | 62 | 30 GiB | 仅限 EBS | ¥ 8.027 |
c4.8xlarge.search | 36 | 132 | 60 GiB | 仅限 EBS | ¥ 16.057 |
存储优化型实例 | |||||
i3.large.search | 2 | 7 | 15.25 GiB | 1 个 0.475 NVMe SSD | ¥ 2.731 |
i3.xlarge.search | 4 | 13 | 30.5 GiB | 1 个 0.95 NVMe SSD | ¥ 5.464 |
i3.2xlarge.search | 8 | 27 | 61 GiB | 1 个 1.9 NVMe SSD | ¥ 10.928 |
i3.4xlarge.search | 16 | 53 | 122 GiB | 2 个 1.9 NVMe SSD | ¥ 21.854 |
i3.8xlarge.search | 32 | 99 | 244 GiB | 4 个 1.9 NVMe SSD | ¥ 43.709 |
i3.16xlarge.search | 64 | 200 | 488 GiB | 8 个 1.9 NVMe SSD | ¥ 87.419 |
OpenSearch 优化型 | |||||
or1.medium.search | 1 | 8 GiB | 仅限 EBS | ¥ 0.725 | |
or1.large.search | 2 | 16 GiB | 仅限 EBS | ¥ 1.455 | |
or1.xlarge.search | 4 | 32 GiB | 仅限 EBS | ¥ 2.909 | |
or1.2xlarge.search | 8 | 64 GiB | 仅限 EBS | ¥ 5.819 | |
or1.4xlarge.search | 16 | 128 GiB | 仅限 EBS | ¥ 11.638 | |
or1.8xlarge.search | 32 | 256 GiB | 仅限 EBS | ¥ 23.274 | |
or1.12xlarge.search | 48 | 384 GiB | 仅限 EBS | ¥ 34.911 | |
or1.16xlarge.search | 64 | 512 GiB | 仅限 EBS | ¥ 46.548 |
除非另行说明,否则我们的价格不包含适用的税费和关税。
预留实例定价
使用 Amazon OpenSearch Service 预留实例,您可以将实例预留一年或三年,与按需实例相比,可显著节省使用成本。在功能上,按需实例和预留实例完全相同。但是,从计费角度来看,预留实例可以显著节省成本。
预留实例有三种付款选项:
- 无预付预留实例 (NURI) – 与按需实例定价相比,NURI 可以显著节省费用。您无需预付任何费用,但承诺在一年或三年期限内为预留实例付费。一年期 NURI 提供 31% 的折扣,三年期 NURI 提供 48% 的折扣。对于 T3.medium,一年期 NURI 提供 18% 的折扣,三年期 NURI 提供 28% 的折扣
- 预付部分费用的预留实例 (PURI) – PURI 比 NURI 节省更多。此选项要求您预付总费用的一部分,并在期限内按小时数支付剩余的费用。一年期 PURI 提供 33% 的折扣,三年期 PURI 提供 50% 的折扣。对于 T3.medium,一年期 PURI 提供 20% 的折扣,三年期 PURI 提供 30% 的折扣
- 预付全部费用的预留实例 (AURI) – AURI 提供所有预留实例付款选项中最大的节省。您只需为整个预留期限支付一笔预付款,无需按小时数支付任何费用。一年期 AURI 提供 35% 的折扣,三年期 AURI 提供 52% 的折扣。对于 T3.medium,一年期 AURI 提供 22% 的折扣,三年期 AURI 提供 32% 的折扣
- 预留实例定价特定于每个区域,并取决于您选择的付款选项和期限。当您购买预留实例时,将向您收取相关的预付费用(如果适用)和小时费用(如果适用),即使当前没有运行 Amazon OpenSearch Service。
预付全部费用 | 预付部分费用 | 无预付费用 | 按需 | ||||
1 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
通用型实例 – 最新一代 | |||||||
t3.medium.search | ¥ 3,690 | ¥ 0.421 | ¥ 1892 | ¥ 0.216 | ¥ 0.432 | ¥ 0.443 | ¥ 0.540 |
m6g.large.search | ¥ 5,085 | ¥ 0.580 | ¥ 2621 | ¥ 0.299 | ¥ 0.598 | ¥ 0.616 | ¥ 0.893 |
m6g.xlarge.search | ¥ 10,169 | ¥ 1.161 | ¥ 5241 | ¥ 0.598 | ¥ 1.197 | ¥ 1.232 | ¥ 1.786 |
m6g.2xlarge.search | ¥ 20,345 | ¥ 2.322 | ¥ 10485 | ¥ 1.197 | ¥ 2.394 | ¥ 2.465 | ¥ 3.573 |
m6g.4xlarge.search | ¥ 40,689 | ¥ 4.645 | ¥ 20971 | ¥ 2.394 | ¥ 4.788 | ¥ 4.931 | ¥ 7.146 |
m6g.8xlarge.search | ¥ 81,379 | ¥ 9.290 | ¥ 41941 | ¥ 4.788 | ¥ 9.576 | ¥ 9.861 | ¥ 14.292 |
m6g.12xlarge.search | ¥ 122,068 | ¥ 13.935 | ¥ 62912 | ¥ 7.182 | ¥ 14.363 | ¥ 14.792 | ¥ 21.438 |
m5.large.search | ¥ 5,694 | ¥ 0.650 | ¥ 2934 | ¥ 0.335 | ¥ 0.670 | ¥ 0.690 | ¥ 1.000 |
m5.xlarge.search | ¥ 11,389 | ¥ 1.300 | ¥ 5869 | ¥ 0.670 | ¥ 1.340 | ¥ 1.380 | ¥ 2.000 |
m5.2xlarge.search | ¥ 22,769 | ¥ 2.599 | ¥ 11734 | ¥ 1.340 | ¥ 2.679 | ¥ 2.759 | ¥ 3.999 |
m5.4xlarge.search | ¥ 45,537 | ¥ 5.198 | ¥ 23468 | ¥ 2.679 | ¥ 5.358 | ¥ 5.518 | ¥ 7.997 |
m5.12xlarge.search | ¥ 136,612 | ¥ 15.595 | ¥ 70409 | ¥ 8.038 | ¥ 16.075 | ¥ 16.555 | ¥ 23.992 |
m4.large.search | ¥ 6,958 | ¥ 0.794 | ¥ 3586 | ¥ 0.409 | ¥ 0.819 | ¥ 0.843 | ¥ 1.222 |
m4.xlarge.search | ¥ 13,893 | ¥ 1.586 | ¥ 7160 | ¥ 0.817 | ¥ 1.635 | ¥ 1.684 | ¥ 2.440 |
m4.2xlarge.search | ¥ 27,804 | ¥ 3.174 | ¥ 14330 | ¥ 1.636 | ¥ 3.272 | ¥ 3.369 | ¥ 4.883 |
m4.4xlarge.search | ¥ 55,659 | ¥ 6.354 | ¥ 28686 | ¥ 3.275 | ¥ 6.549 | ¥ 6.745 | ¥ 9.775 |
m4.10xlarge.search | ¥ 139,127 | ¥ 15.882 | ¥ 71704 | ¥ 8.185 | ¥ 16.371 | ¥ 16.859 | ¥ 24.434 |
计算优化型实例 - 最新一代 | |||||||
c6g.large.search | ¥ 3,701 | ¥ 0.423 | ¥ 1907 | ¥ 0.218 | ¥ 0.436 | ¥ 0.449 | ¥ 0.650 |
c6g.xlarge.search | ¥ 7,402 | ¥ 0.845 | ¥ 3815 | ¥ 0.436 | ¥ 0.871 | ¥ 0.897 | ¥ 1.300 |
c6g.2xlarge.search | ¥ 14,804 | ¥ 1.690 | ¥ 7630 | ¥ 0.871 | ¥ 1.742 | ¥ 1.794 | ¥ 2.600 |
c6g.4xlarge.search | ¥ 29,609 | ¥ 3.380 | ¥ 15260 | ¥ 1.742 | ¥ 3.484 | ¥ 3.588 | ¥ 5.200 |
c6g.8xlarge.search | ¥ 59,223 | ¥ 6.761 | ¥ 30523 | ¥ 3.484 | ¥ 6.969 | ¥ 7.177 | ¥ 10.401 |
c6g.12xlarge.search | ¥ 88,832 | ¥ 10.141 | ¥ 45783 | ¥ 5.226 | ¥ 10.453 | ¥ 10.765 | ¥ 15.601 |
c5.large.search | ¥ 4,140 | ¥ 0.473 | ¥ 2133 | ¥ 0.244 | ¥ 0.487 | ¥ 0.502 | ¥ 0.727 |
c5.xlarge.search | ¥ 8,279 | ¥ 0.945 | ¥ 4267 | ¥ 0.487 | ¥ 0.974 | ¥ 1.003 | ¥ 1.454 |
c5.2xlarge.search | ¥ 16,564 | ¥ 1.891 | ¥ 8537 | ¥ 0.975 | ¥ 1.950 | ¥ 2.007 | ¥ 2.909 |
c5.4xlarge.search | ¥ 33,116 | ¥ 3.780 | ¥ 17068 | ¥ 1.948 | ¥ 3.896 | ¥ 4.013 | ¥ 5.816 |
c5.9xlarge.search | ¥ 74,512 | ¥ 8.506 | ¥ 38402 | ¥ 4.384 | ¥ 8.768 | ¥ 9.029 | ¥ 13.086 |
c5.18xlarge.search | ¥ 149,035 | ¥ 17.013 | ¥ 76810 | ¥ 8.768 | ¥ 17.536 | ¥ 18.060 | ¥ 26.174 |
c4.large.search | ¥ 5,734 | ¥ 0.655 | ¥ 2955 | ¥ 0.337 | ¥ 0.675 | ¥ 0.695 | ¥ 1.007 |
c4.xlarge.search | ¥ 11,445 | ¥ 1.307 | ¥ 5899 | ¥ 0.673 | ¥ 1.347 | ¥ 1.387 | ¥ 2.010 |
c4.2xlarge.search | ¥ 22,850 | ¥ 2.608 | ¥ 11777 | ¥ 1.344 | ¥ 2.689 | ¥ 2.769 | ¥ 4.013 |
c4.4xlarge.search | ¥ 45,706 | ¥ 5.218 | ¥ 23556 | ¥ 2.689 | ¥ 5.378 | ¥ 5.539 | ¥ 8.027 |
c4.8xlarge.search | ¥ 91,429 | ¥ 10.437 | ¥ 47121 | ¥ 5.379 | ¥ 10.758 | ¥ 11.079 | ¥ 16.057 |
内存优化型实例 - 最新一代 | |||||||
r6g.large.search | ¥ 6,628 | ¥ 0.757 | ¥ 3416 | ¥ 0.390 | ¥ 0.780 | ¥ 0.803 | ¥ 1.164 |
r6g.xlarge.search | ¥ 13,250 | ¥ 1.513 | ¥ 6829 | ¥ 0.780 | ¥ 1.559 | ¥ 1.606 | ¥ 2.327 |
r6g.2xlarge.search | ¥ 26,506 | ¥ 3.026 | ¥ 13661 | ¥ 1.559 | ¥ 3.119 | ¥ 3.212 | ¥ 4.655 |
r6g.4xlarge.search | ¥ 53,011 | ¥ 6.052 | ¥ 27321 | ¥ 3.119 | ¥ 6.238 | ¥ 6.424 | ¥ 9.310 |
r6g.8xlarge.search | ¥ 106,017 | ¥ 12.102 | ¥ 54639 | ¥ 6.237 | ¥ 12.475 | ¥ 12.847 | ¥ 18.619 |
r6g.12xlarge.search | ¥ 159,028 | ¥ 18.154 | ¥ 81960 | ¥ 9.356 | ¥ 18.712 | ¥ 19.271 | ¥ 27.929 |
r5.large.search | ¥ 7,414 | ¥ 0.846 | ¥ 3821 | ¥ 0.436 | ¥ 0.872 | ¥ 0.898 | ¥ 1.302 |
r5.xlarge.search | ¥ 14,833 | ¥ 1.693 | ¥ 7645 | ¥ 0.873 | ¥ 1.746 | ¥ 1.797 | ¥ 2.605 |
r5.2xlarge.search | ¥ 29,671 | ¥ 3.387 | ¥ 15292 | ¥ 1.746 | ¥ 3.492 | ¥ 3.596 | ¥ 5.211 |
r5.4xlarge.search | ¥ 59,337 | ¥ 6.774 | ¥ 30581 | ¥ 3.491 | ¥ 6.982 | ¥ 7.190 | ¥ 10.421 |
r5.12xlarge.search | ¥ 178,012 | ¥ 20.321 | ¥ 91744 | ¥10.473 | ¥ 20.946 | ¥ 21.571 | ¥ 31.263 |
r4.large.search | ¥ 11,012 | ¥ 1.257 | ¥ 5676 | ¥ 0.648 | ¥ 1.296 | ¥ 1.334 | ¥ 1.934 |
r4.xlarge.search | ¥ 22,059 | ¥ 2.518 | ¥ 11369 | ¥ 1.298 | ¥ 2.596 | ¥ 2.673 | ¥ 3.874 |
r4.2xlarge.search | ¥ 44,146 | ¥ 5.039 | ¥ 22752 | ¥ 2.597 | ¥ 5.195 | ¥ 5.350 | ¥ 7.753 |
r4.4xlarge.search | ¥ 88,229 | ¥ 10.072 | ¥ 45472 | ¥ 5.191 | ¥ 10.382 | ¥ 10.692 | ¥ 15.495 |
r4.8xlarge.search | ¥ 176,548 | ¥ 20.154 | ¥ 90990 | ¥ 10.387 | ¥ 20.774 | ¥ 21.394 | ¥ 31.006 |
r4.16xlarge.search | ¥ 353,102 | ¥ 40.308 | ¥ 181983 | ¥ 20.774 | ¥ 41.549 | ¥ 42.789 | ¥ 62.013 |
存储优化 – 最新一代 |
|||||||
i3.large.search | ¥ 15,550 | ¥ 1.775 | ¥ 8014 | ¥ 0.915 | ¥ 1.830 | ¥ 1.884 | ¥ 2.731 |
i3.xlarge.search | ¥ 31,112 | ¥ 3.552 | ¥ 16035 | ¥ 1.830 | ¥ 3.661 | ¥ 3.770 | ¥ 5.464 |
i3.2xlarge.search | ¥ 62,224 | ¥ 7.103 | ¥ 32069 | ¥ 3.661 | ¥ 7.322 | ¥ 7.540 | ¥ 10.928 |
i3.4xlarge.search | ¥ 124,437 | ¥ 14.205 | ¥ 64133 | ¥ 7.321 | ¥ 14.642 | ¥ 15.079 | ¥ 21.854 |
i3.8xlarge.search | ¥ 248,879 | ¥ 28.411 | ¥ 128268 | ¥ 14.643 | ¥ 29.285 | ¥ 30.159 | ¥ 43.709 |
i3.16xlarge.search | ¥ 497,764 | ¥ 56.822 | ¥ 256540 | ¥ 29.285 | ¥ 58.571 | ¥ 60.319 | ¥ 87.419 |
OpenSearch 优化型 | |||||||
or1.medium.search | ¥ 4128.15 | ¥ 0.47125 | ¥ 2128.68 | ¥ 0.243 | ¥ 0.48575 | ¥ 0.50025 | ¥ 0.725 |
or1.large.search | ¥ 8284.77 | ¥ 0.94575 | ¥ 4266.12 | ¥ 0.487 | ¥ 0.97485 | ¥ 1.00395 | ¥ 1.455 |
or1.xlarge.search | ¥ 16563.85 | ¥ 1.89085 | ¥ 8541.00 | ¥ 0.975 | ¥ 1.94903 | ¥ 2.00721 | ¥ 2.909 |
or1.2xlarge.search | ¥ 33133.39 | ¥ 3.78235 | ¥ 17073.24 | ¥ 1.949 | ¥ 3.89873 | ¥ 4.01511 | ¥ 5.819 |
or1.4xlarge.search | ¥ 66266.77 | ¥ 7.56470 | ¥ 34155.24 | ¥ 3.899 | ¥ 7.79746 | ¥ 8.03022 | ¥ 11.638 |
or1.8xlarge.search | ¥ 132522.16 | ¥ 15.12810 | ¥68301.72 | ¥ 7.797 | ¥ 15.59358 | ¥ 16.05906 | ¥ 23.274 |
or1.12xlarge.search | ¥ 198783.23 | ¥ 22.69215 | ¥102448.20 | ¥ 11.695 | ¥ 23.39037 | ¥ 24.08859 | ¥ 34.911 |
or1.16xlarge.search | ¥ 265044.31 | ¥ 30.25620 | ¥136603.44 | ¥ 15.594 | ¥ 31.18716 | ¥ 32.11812 | ¥ 43.744 |
预付全部费用 | 预付部分费用 | 无预付费用 | 按需 | ||||
3 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
通用型实例 – 最新一代 | |||||||
t3.medium.search | ¥ 9,650 | ¥ 0.367 | ¥ 4967 | ¥ 0.189 | ¥ 0.378 | ¥ 0.389 | ¥ 0.540 |
m6g.large.search | ¥ 11,265 | ¥ 0.429 | ¥ 5867 | ¥ 0.223 | ¥ 0.447 | ¥ 0.464 | ¥ 0.893 |
m6g.xlarge.search | ¥ 22,529 | ¥ 0.857 | ¥ 11734 | ¥ 0.447 | ¥ 0.893 | ¥ 0.929 | ¥ 1.786 |
m6g.2xlarge.search | ¥ 45,071 | ¥ 1.715 | ¥ 23475 | ¥ 0.893 | ¥ 1.787 | ¥ 1.858 | ¥ 3.573 |
m6g.4xlarge.search | ¥ 90,143 | ¥ 3.430 | ¥ 46949 | ¥ 1.787 | ¥ 3.573 | ¥ 3.716 | ¥ 7.146 |
m6g.8xlarge.search | ¥ 180,285 | ¥ 6.860 | ¥ 93898 | ¥ 3.573 | ¥ 7.146 | ¥ 7.432 | ¥ 14.292 |
m6g.12xlarge.search | ¥ 270,428 | ¥ 10.290 | ¥ 140848 | ¥ 5.360 | ¥ 10.719 | ¥ 11.148 | ¥ 21.438 |
m5.large.search | ¥ 12,615 | ¥ 0.480 | ¥ 6570 | ¥ 0.250 | ¥ 0.500 | ¥ 0.520 | ¥ 1.000 |
m5.xlarge.search | ¥ 25,230 | ¥ 0.960 | ¥ 13141 | ¥ 0.500 | ¥ 1.000 | ¥ 1.040 | ¥ 2.000 |
m5.2xlarge.search | ¥ 50,442 | ¥ 1.919 | ¥ 26272 | ¥ 1.000 | ¥ 1.999 | ¥ 2.079 | ¥ 3.999 |
m5.4xlarge.search | ¥ 100,883 | ¥ 3.839 | ¥ 52543 | ¥ 1.999 | ¥ 3.999 | ¥ 4.159 | ¥ 7.997 |
m5.12xlarge.search | ¥ 302,649 | ¥ 11.516 | ¥157630 | ¥ 5.998 | ¥ 11.996 | ¥ 12.476 | ¥ 23.992 |
m4.large.search | ¥ 15,415 | ¥ 0.587 | ¥ 8029 | ¥ 0.306 | ¥ 0.611 | ¥ 0.635 | ¥ 1.222 |
m4.xlarge.search | ¥ 30,779 | ¥ 1.171 | ¥ 16031 | ¥ 0.610 | ¥ 1.220 | ¥ 1.269 | ¥ 2.440 |
m4.2xlarge.search | ¥ 61,596 | ¥ 2.344 | ¥ 32081 | ¥ 1.221 | ¥ 2.441 | ¥ 2.539 | ¥ 4.883 |
m4.4xlarge.search | ¥ 123,306 | ¥ 4.692 | ¥ 64222 | ¥ 2.444 | ¥ 4.888 | ¥ 5.083 | ¥ 9.775 |
m4.10xlarge.search | ¥ 308,220 | ¥ 11.728 | ¥ 160531 | ¥ 6.109 | ¥ 12.217 | ¥ 12.706 | ¥ 24.434 |
计算优化型实例 - 最新一代 | |||||||
c6g.large.search | ¥ 8,199 | ¥ 0.312 | ¥ 4271 | ¥ 0.163 | ¥ 0.325 | ¥ 0.338 | ¥ 0.650 |
c6g.xlarge.search | ¥ 16,399 | ¥ 0.624 | ¥ 8541 | ¥ 0.325 | ¥ 0.650 | ¥ 0.676 | ¥ 1.300 |
c6g.2xlarge.search | ¥ 32,797 | ¥ 1.248 | ¥ 17082 | ¥ 0.650 | ¥ 1.300 | ¥ 1.352 | ¥ 2.600 |
c6g.4xlarge.search | ¥ 65,595 | ¥ 2.496 | ¥ 34164 | ¥ 1.300 | ¥ 2.600 | ¥ 2.704 | ¥ 5.200 |
c6g.8xlarge.search | ¥ 131,202 | ¥ 4.992 | ¥ 68335 | ¥ 2.600 | ¥ 5.201 | ¥ 5.409 | ¥ 10.401 |
c6g.12xlarge.search | ¥ 196,797 | ¥ 7.488 | ¥ 102499 | ¥ 3.900 | ¥ 7.801 | ¥ 8.113 | ¥ 15.601 |
c5.large.search | ¥ 9,171 | ¥ 0.349 | ¥ 4776 | ¥ 0.182 | ¥ 0.364 | ¥ 0.378 | ¥ 0.727 |
c5.xlarge.search | ¥ 18,341 | ¥ 0.698 | ¥ 9553 | ¥ 0.364 | ¥ 0.728 | ¥ 0.756 | ¥ 1.454 |
c5.2xlarge.search | ¥ 36,695 | ¥ 1.396 | ¥ 19112 | ¥ 0.727 | ¥ 1.454 | ¥ 1.513 | ¥ 2.909 |
c5.4xlarge.search | ¥ 73,365 | ¥ 2.792 | ¥ 38211 | ¥ 1.454 | ¥ 2.908 | ¥ 3.024 | ¥ 5.816 |
c5.9xlarge.search | ¥ 165,072 | ¥ 6.281 | ¥ 85975 | ¥ 3.272 | ¥ 6.543 | ¥ 6.805 | ¥ 13.086 |
c5.18xlarge.search | ¥ 330,169 | ¥ 12.564 | ¥171963 | ¥ 6.544 | ¥ 13.087 | ¥ 13.610 | ¥ 26.174 |
c4.large.search | ¥ 12,703 | ¥ 0.483 | ¥ 6616 | ¥ 0.252 | ¥ 0.504 | ¥ 0.524 | ¥ 1.007 |
c4.xlarge.search | ¥ 25,355 | ¥ 0.965 | ¥ 13206 | ¥ 0.502 | ¥ 1.005 | ¥ 1.045 | ¥ 2.010 |
c4.2xlarge.search | ¥ 50,622 | ¥ 1.926 | ¥ 26365 | ¥ 1.003 | ¥ 2.006 | ¥ 2.087 | ¥ 4.013 |
c4.4xlarge.search | ¥ 101,256 | ¥ 3.853 | ¥ 52737 | ¥ 2.007 | ¥ 4.013 | ¥ 4.174 | ¥ 8.027 |
c4.8xlarge.search | ¥ 202,549 | ¥ 7.707 | ¥ 105494 | ¥ 4.014 | ¥ 8.028 | ¥ 8.350 | ¥ 16.057 |
内存优化型实例 - 最新一代 | |||||||
r6g.large.search | ¥ 14,683 | ¥ 0.559 | ¥ 7647 | ¥ 0.291 | ¥ 0.582 | ¥ 0.605 | ¥ 1.164 |
r6g.xlarge.search | ¥ 29,354 | ¥ 1.117 | ¥ 15288 | ¥ 0.582 | ¥ 1.164 | ¥ 1.210 | ¥ 2.327 |
r6g.2xlarge.search | ¥ 58,720 | ¥ 2.234 | ¥ 30583 | ¥ 1.164 | ¥ 2.328 | ¥ 2.421 | ¥ 4.655 |
r6g.4xlarge.search | ¥ 117,440 | ¥ 4.469 | ¥ 61167 | ¥ 2.328 | ¥ 4.655 | ¥ 4.841 | ¥ 9.310 |
r6g.8xlarge.search | ¥ 234,868 | ¥ 8.937 | ¥ 122327 | ¥ 4.655 | ¥ 9.310 | ¥ 9.682 | ¥ 18.619 |
r6g.12xlarge.search | ¥ 352,308 | ¥ 13.406 | ¥ 183494 | ¥ 6.982 | ¥ 13.965 | ¥ 14.523 | ¥ 27.929 |
r5.large.search | ¥ 16,424 | ¥ 0.625 | ¥ 8554 | ¥ 0.326 | ¥ 0.651 | ¥ 0.677 | ¥ 1.302 |
r5.xlarge.search | ¥ 32,861 | ¥ 1.250 | ¥ 17115 | ¥ 0.651 | ¥ 1.302 | ¥ 1.355 | ¥ 2.605 |
r5.2xlarge.search | ¥ 65,734 | ¥ 2.501 | ¥ 34236 | ¥ 1.303 | ¥ 2.606 | ¥ 2.710 | ¥ 5.211 |
r5.4xlarge.search | ¥ 131,455 | ¥ 5.002 | ¥ 68466 | ¥ 2.605 | ¥ 5.210 | ¥ 5.419 | ¥ 10.421 |
r5.12xlarge.search | ¥ 394,364 | ¥ 15.006 | ¥205398 | ¥ 7.816 | ¥ 15.632 | ¥ 16.257 | ¥ 31.263 |
r4.large.search | ¥ 24,396 | ¥ 0.928 | ¥ 12706 | ¥ 0.484 | ¥ 0.967 | ¥ 1.006 | ¥ 1.934 |
r4.xlarge.search | ¥ 48,868 | ¥ 1.860 | ¥ 25452 | ¥ 0.968 | ¥ 1.937 | ¥ 2.014 | ¥ 3.874 |
r4.2xlarge.search | ¥ 97,799 | ¥ 3.721 | ¥ 50937 | ¥ 1.938 | ¥ 3.876 | ¥ 4.032 | ¥ 7.753 |
r4.4xlarge.search | ¥ 195,460 | ¥ 7.438 | ¥ 101802 | ¥ 3.874 | ¥ 7.747 | ¥ 8.057 | ¥ 15.495 |
r4.8xlarge.search | ¥ 391,122 | ¥ 14.883 | ¥ 203709 | ¥ 7.752 | ¥ 15.503 | ¥ 16.123 | ¥ 31.006 |
r4.16xlarge.search | ¥ 782,257 | ¥ 29.766 | ¥ 407425 | ¥ 15.503 | ¥ 31.006 | ¥ 32.247 | ¥ 62.013 |
存储优化型实例 – 最新一代 | |||||||
i3.large.search | ¥ 34,450 | ¥ 1.311 | ¥ 17943 | ¥ 0.683 | ¥ 1.366 | ¥ 1.420 | ¥ 2.731 |
i3.xlarge.search | ¥ 68,925 | ¥ 2.623 | ¥ 35898 | ¥ 1.366 | ¥ 2.732 | ¥ 2.841 | ¥ 5.464 |
i3.2xlarge.search | ¥ 137,850 | ¥ 5.245 | ¥ 71797 | ¥ 2.732 | ¥ 5.464 | ¥ 5.683 | ¥ 10.928 |
i3.4xlarge.search | ¥ 275,675 | ¥ 10.490 | ¥ 143581 | ¥ 5.463 | ¥ 10.927 | ¥ 11.364 | ¥ 21.854 |
i3.8xlarge.search | ¥ 551,363 | ¥ 20.980 | ¥ 287168 | ¥ 10.927 | ¥ 21.854 | ¥ 22.729 | ¥ 43.709 |
i3.16xlarge.search | ¥ 1,102,738 | ¥ 41.961 | ¥ 574343 | ¥ 21.855 | ¥ 43.710 | ¥ 45.458 | ¥ 87.419 |
OpenSearch 优化型 | |||||||
or1.medium.search | ¥ 9145.440 | ¥ 0.34800 | ¥ 4756.68 | ¥ 0.181 | ¥ 0.3625 | ¥ 0.377 | ¥ 0.725 |
or1.large.search | ¥ 18353.952 | ¥ 0.69840 | ¥ 9565.92 | ¥ 0.364 | ¥ 0.7275 | ¥ 0.757 | ¥ 1.455 |
or1.xlarge.search | ¥ 36695.290 | ¥ 1.39632 | ¥ 19105.56 | ¥ 0.727 | ¥ 1.4545 | ¥ 1.513 | ¥ 2.909 |
or1.2xlarge.search | ¥ 73403.194 | ¥ 2.79312 | ¥38237.40 | ¥ 1.455 | ¥ 2.9095 | ¥ 3.026 | ¥ 5.819 |
or1.4xlarge.search | ¥ 146806.387 | ¥ 5.58624 | ¥76474.80 | ¥ 2.910 | ¥ 5.8190 | ¥ 6.052 | ¥ 11.638 |
or1.8xlarge.search | ¥ 293587.546 | ¥ 11.17152 | ¥152923.32 | ¥ 5.819 | ¥ 11.6370 | ¥ 12.102 | ¥ 23.274 |
or1.12xlarge.search | ¥ 440381.318 | ¥ 16.75728 | ¥229371.84 | ¥ 8.728 | ¥ 17.4555 | ¥ 18.154 | ¥ 34.911 |
or1.16xlarge.search | ¥ 587175.091 | ¥ 22.34304 | ¥305820.36 | ¥ 11.637 | ¥ 23.2740 | ¥ 24.205 | ¥ 43.744 |
* 有效小时定价可帮助您计算预留实例比按需定价节省的成本。当您购买预留实例时,在您选择的整个预留实例期限内,系统会按小时计费,无论该实例是否在运行。有效小时价格显示摊销的每小时实例成本。这将采用预留实例在整个期限内的总成本,包括任何预付款项,并将该成本分散到该预留实例期限内的每个小时。
Amazon EBS 卷定价(选择 EBS 卷时适用)
Amazon OpenSearch Service 允许您选择 Amazon EBS 卷的类型。如果您选择预置 IOPS (SSD) 存储,则需要为预置的存储和吞吐量付费。但是,您不必为消耗的 I/O 付费。
定价(宁夏) | |
---|---|
Amazon EBS 标准卷 | |
通用型 SSD (gp2) – 存储 | 每月每 GB ¥ 0.896 |
通用型 SSD(gp3)– 存储 | 每月每 GB ¥ 0.8101 |
通用型 SSD(gp3)– IOPS | 对于大小不超过 1024 GiB 的卷,可免费使用 3000 IOPS,对于大小超过 1024 GiB 的卷(最大 IOPS 限制为 16000),可免费使用 3 IOPS/GiB。 超出免费限制的每月预调配 IOPS ¥ 0.0531 |
通用型 SSD(gp3)– 吞吐量 | 对于大小不超过 170 GiB 的卷,可免费使用 125 MiB/s,对于大小超过 170 GiB 的卷,每 3 TiB 可免费增加 250 MiB/s。超出免费限制的每月预调配 MiB/s ¥ 0.4250 |
磁性存储 | 每月每 GB ¥ 0.488 |
Amazon EBS 预配置 IOPS 卷 | |
存储费率 | 每月每 GB ¥ 1.032 |
预配置 IOPS 费率 | 每月每个 IOPS ¥ 0.540 |
UltraWarm 和冷存储定价
UltraWarm 是用于 Amazon OpenSearch Service 的一个层,允许您经济地保留大量数据,同时获得相同的交互式分析体验。 了解详情 »
冷存储是 Amazon OpenSearch Service 成本最低的存储层,可让您在 Amazon S3 中分离和存储不经常访问的数据,并且您只在需要时为计算付费。 了解详情 »
按需 UltraWarm 实例定价
vCPU |
内存 (GiB) |
每节点最大托管存储 (TiB) * |
每小时价格 |
|
ultrawarm1.medium.search |
2 | 15.25 | 1.5 | ¥1.787 |
ultrawarm1.large.search |
16 | 122 | 20 | ¥20.111 |
* 仅主要分片计入总托管存储使用。
UltraWarm 预留实例有三种付款选项:
- 无预付预留实例 (NURI) – 与按需实例定价相比,NURI 可以显著节省费用。您无需预付任何费用,但承诺在一年或三年期限内为预留实例付费。一年期 NURI 提供 25% 的折扣,三年期 NURI 提供 30% 的折扣。
- 预付部分费用的预留实例 (PURI) – PURI 比 NURI 节省更多。此选项要求您预付总费用的一部分,并在期限内按小时数支付剩余的费用。一年期 PURI 提供 27% 的折扣,三年期 PURI 提供 32% 的折扣。
- 预付全部费用的预留实例 (AURI) – AURI 提供所有预留实例付款选项中最大的节省。您只需为整个预留期限支付一笔预付款,无需按小时数支付任何费用。一年期 AURI 提供 29% 的折扣,三年期 AURI 提供 34% 的折扣。
预付全部费用 | 预付部分费用 | 无预付费用 | 按需 | ||||
1 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
ultrawarm1.medium.search | ¥ 11114 | ¥ 1.268 | ¥ 5714 | ¥ 0.652 | ¥ 7.341 | ¥ 1.34 | ¥ 1.787 |
ultrawarm1.large.search | ¥ 125082 | ¥ 14.279 | ¥ 64303 | ¥ 7.341 |
¥ 14.682 | ¥ 15.083 | ¥ 20.111 |
3 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
ultrawarm1.medium.search | ¥ 30995 | ¥ 1.179 | ¥ 15967 | ¥ 0.608 | ¥ 1.216 | ¥ 1.216 | ¥ 1.787 |
ultrawarm1.large.search | ¥ 348821 | ¥ 13.273 | ¥ 179696 | ¥ 6.838 | ¥ 1.216 | ¥ 14.078 | ¥ 20.111 |
* 通过与按需定价对比,有效小时定价可帮助您计算预留实例比按需定价节省的成本。当您购买预留实例时,在您选择的整个预留实例期限内,系统会按小时计费,无论该实例是否在运行。有效小时价格显示摊销的每小时实例成本。这将采用预留实例在整个期限内的总成本,包括任何预付款项,并将该成本分散到该预留实例期限内的每个小时。
托管存储定价
存储类型 | 定价 |
托管存储 | 每月每 GB ¥0.207 |
注意:托管存储定价适用于 UltraWarm 和冷存储数据。
标准亚马逊云科技数据传输费
您需要为传入和传出 Amazon OpenSearch Service 的数据支付标准数据传输费用。您不需为 Amazon OpenSearch Service 域内节点之间的数据传输付费。
免费自动快照存储
Amazon OpenSearch Service 通过自动和手动集群快照提供改善的数据持久性。给服务为每个 Amazon OpenSearch Service 域免费提供自动快照存储空间,并将这些快照保留 14 天。手动快照存储在 Amazon S3 中,并且须支付标准 Amazon S3 使用费用。免费提供快照数据传输。
中国(北京)区域
按需实例定价
vCPU | ECU | 内存 (GiB) | 实例存储 (GB) | 定价(北京) | |
通用型实例 | |||||
t3.small.search | 2 | 变量 | 2 | 仅限 EBS | ¥ 0.307 |
t3.medium.search | 2 | 变量 | 4 | 仅限 EBS | ¥ 0.614 |
m6g.large.search | 2 | 8 GiB | 仅限 EBS | ¥ 1.334 | |
m6g.xlarge.search | 4 | 16 GiB | 仅限 EBS | ¥ 2.668 | |
m6g.2xlarge.search | 8 | 32 GiB | 仅限 EBS | ¥ 5.337 | |
m6g.4xlarge.search | 16 | 64 GiB | 仅限 EBS | ¥ 10.673 | |
m6g.8xlarge.search | 32 | 128 GiB | 仅限 EBS | ¥ 21.347 | |
m6g.12xlarge.search | 64 | 192 GiB | 仅限 EBS | ¥ 32.02 | |
m5.large.search | 2 | 8 | 仅限 EBS | ¥ 1.494 | |
m5.xlarge.search | 4 | 16 | 仅限 EBS | ¥ 2.988 | |
m5.2xlarge.search | 8 | 32 | 仅限 EBS | ¥ 5.978 | |
m5.4xlarge.search | 16 | 64 | 仅限 EBS | ¥ 11.956 | |
m5.12xlarge.search | 48 | 192 | 仅限 EBS | ¥ 35.868 | |
m4.large.search | 2 | 6.5 | 8 GiB | 仅限 EBS | ¥ 1.616 |
m4.xkarge.search | 4 | 13 | 16 GiB | 仅限 EBS | ¥ 3.237 |
m4.2xlarge.search | 8 | 26 | 32 GiB | 仅限 EBS | ¥ 6.468 |
m4.4xlarge.search | 16 | 52 | 64 GiB | 仅限 EBS | ¥ 12.936 |
m4.10xlarge.search | 40 | 124.5 | 160 GiB | 仅限 EBS | ¥ 32.339 |
内存优化型实例 | |||||
r6g.large.search | 2 | 16 GiB | 仅限 EBS | ¥ 1.605 | |
r6g.xlarge.search | 4 | 32 GiB | 仅限 EBS | ¥ 3.209 | |
r6g.2xlarge.search | 8 | 64 GiB | 仅限 EBS | ¥ 6.419 | |
r6g.4xlarge.search | 16 | 128 GiB | 仅限 EBS | ¥ 12.837 | |
r6g.8xlarge.search | 32 | 256 GiB | 仅限 EBS | ¥ 25.674 | |
r6g.12xlarge.search | 48 | 384 GiB | 仅限 EBS | ¥ 38.512 | |
r5.large.search | 2 | 9 | 16 | 仅限 EBS | ¥ 1.798 |
r5.xlarge.search | 4 | 19 | 32 | 仅限 EBS | ¥ 3.595 |
r5.2xlarge.search | 8 | 38 | 64 | 仅限 EBS | ¥ 7.189 |
r5.4xlarge.search | 16 | 71 | 128 | 仅限 EBS | ¥ 14.380 |
r5.12xlarge.search | 48 | 173 | 384 | 仅限 EBS | ¥ 43.138 |
r4.large.search | 2 | 7 | 15.25 GiB | 仅限 EBS | ¥ 2.253 |
r4.xlarge.search | 4 | 13.5 | 30.5 GiB | 仅限 EBS | ¥ 4.513 |
r4.2xlarge.search | 8 | 27 | 61 GiB | 仅限 EBS | ¥ 9.018 |
r4.4xlarge.search | 16 | 53 | 122 GiB | 仅限 EBS | ¥ 18.035 |
r4.8xlarge.search | 32 | 99 | 244 GiB | 仅限 EBS | ¥ 36.079 |
r4.16xlarge.search | 64 | 195 | 488 GiB | 仅限 EBS | ¥ 72.158 |
计算优化型实例 | |||||
c6g.large.search | 2 | 4 GiB | 仅限 EBS | ¥ 0.973 | |
c6g.xlarge.search | 4 | 8 GiB | 仅限 EBS | ¥ 1.946 | |
c6g.2xlarge.search | 8 | 16 GiB | 仅限 EBS | ¥ 3.891 | |
c6g.4xlarge.search | 16 | 32 GiB | 仅限 EBS | ¥ 7.782 | |
c6g.8xlarge.search | 32 | 64 GiB | 仅限 EBS | ¥ 15.565 | |
c6g.12xlarge.search | 48 | 96 GiB | 仅限 EBS | ¥ 23.347 | |
c5.large.search | 2 | 9 | 4 | 仅限 EBS | ¥ 1.090 |
c5.xlarge.search | 4 | 17 | 8 | 仅限 EBS | ¥ 2.182 |
c5.2xlarge.search | 8 | 34 | 16 | 仅限 EBS | ¥ 4.362 |
c5.4xlarge.search | 16 | 68 | 32 | 仅限 EBS | ¥ 8.725 |
c5.9xlarge.search | 36 | 141 | 72 | 仅限 EBS | ¥ 19.631 |
c5.18xlarge.search | 72 | 281 | 144 | 仅限 EBS | ¥ 39.260 |
c4.large.search | 2 | 8 | 3.75 GiB | 仅限 EBS | ¥ 2.304 |
c4.xlarge.search | 4 | 16 | 7.5 GiB | 仅限 EBS | ¥ 2.608 |
c4.2xlarge.search | 8 | 31 | 15 GiB | 仅限 EBS | ¥ 5.215 |
c4.4xlarge.search | 16 | 62 | 30 GiB | 仅限 EBS | ¥ 10.432 |
c4.8xlarge.search | 36 | 132 | 60 GiB | 仅限 EBS | ¥ 20.862 |
OpenSearch 优化型 | |||||
or1.medium.search | 1 | 8 GiB | 仅限 EBS | ¥ 1.01 | |
or1.large.search | 2 | 16 GiB | 仅限 EBS | ¥ 2.02 | |
or1.xlarge.search | 4 | 32 GiB | 仅限 EBS | ¥ 4.042 | |
or1.2xlarge.search | 8 | 64 GiB | 仅限 EBS | ¥ 8.085 | |
or1.4xlarge.search | 16 | 128 GiB | 仅限 EBS | ¥ 16.169 | |
or1.8xlarge.search | 32 | 256 GiB | 仅限 EBS | ¥ 32.339 | |
or1.12xlarge.search | 48 | 384 GiB | 仅限 EBS | ¥ 48.508 | |
or1.16xlarge.search | 64 | 512 GiB | 仅限 EBS | ¥ 64.678 |
除非另行说明,否则我们的价格不包含适用的税费和关税。
预留实例定价
使用 Amazon OpenSearch Service 预留实例,您可以将实例预留一年或三年,与按需实例相比,可显著节省使用成本。在功能上,按需实例和预留实例完全相同。但是,从计费角度来看,预留实例可以显著节省成本。
预留实例有三种付款选项:
- 无预付预留实例 (NURI) – 与按需实例定价相比,NURI 可以显著节省费用。您无需预付任何费用,但承诺在一年或三年期限内为预留实例付费。一年期 NURI 提供 31% 的折扣,三年期 NURI 提供 48% 的折扣。对于 T3.medium,一年期 NURI 提供 18% 的折扣,三年期 NURI 提供 28% 的折扣
- 预付部分费用的预留实例 (PURI) – PURI 比 NURI 节省更多。此选项要求您预付总费用的一部分,并在期限内按小时数支付剩余的费用。一年期 PURI 提供 33% 的折扣,三年期 PURI 提供 50% 的折扣。对于 T3.medium,一年期 PURI 提供 20% 的折扣,三年期 PURI 提供 30% 的折扣
- 预付全部费用的预留实例 (AURI) – AURI 提供所有预留实例付款选项中最大的节省。您只需为整个预留期限支付一笔预付款,无需按小时数支付任何费用。一年期 AURI 提供 35% 的折扣,三年期 AURI 提供 52% 的折扣。对于 T3.medium,一年期 AURI 提供 22% 的折扣,三年期 AURI 提供 32% 的折扣
- 预留实例定价特定于每个区域,并取决于您选择的付款选项和期限。当您购买预留实例时,将向您收取相关的预付费用(如果适用)和小时费用(如果适用),即使当前没有运行 Amazon OpenSearch Service。
预付全部费用 | 预付部分费用 | 无预付费用 | 按需 | ||||
1 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
通用型实例 – 最新一代 | |||||||
t3.medium.search | ¥ 4,195 | ¥ 0.479 | ¥ 2151 | ¥ 0.246 | ¥ 0.491 | ¥ 0.503 | ¥ 0.614 |
m6g.large.search | ¥ 7,596 | ¥ 0.867 | ¥ 3915 | ¥ 0.447 | ¥ 0.894 | ¥ 0.920 | ¥ 1.334 |
m6g.xlarge.search | ¥ 15,192 | ¥ 1.734 | ¥ 7830 | ¥ 0.894 | ¥ 1.788 | ¥ 1.841 | ¥ 2.668 |
m6g.2xlarge.search | ¥ 30,389 | ¥ 3.469 | ¥ 15662 | ¥ 1.788 | ¥ 3.576 | ¥ 3.683 | ¥ 5.337 |
m6g.4xlarge.search | ¥ 60,772 | ¥ 6.937 | ¥ 31321 | ¥ 3.575 | ¥ 7.151 | ¥ 7.364 | ¥ 10.673 |
m6g.8xlarge.search | ¥ 121,550 | ¥ 13.876 | ¥ 62645 | ¥ 7.151 | ¥ 14.302 | ¥ 14.729 | ¥ 21.347 |
m6g.12xlarge.search | ¥ 182,322 | ¥ 20.813 | ¥ 93966 | ¥ 10.727 | ¥ 21.453 | ¥ 22.094 | ¥ 32.020 |
m4.large.search | ¥ 9,202 | ¥ 1.050 | ¥ 4742 | ¥ 0.541 | ¥ 1.083 | ¥ 1.115 | ¥ 1.616 |
m4.xlarge.search | ¥ 18,431 | ¥ 2.104 | ¥ 9499 | ¥ 1.084 | ¥ 2.169 | ¥ 2.234 | ¥ 3.237 |
m4.2xlarge.search | ¥ 36,829 | ¥ 4.204 | ¥ 18981 | ¥ 2.167 | ¥ 4.334 | ¥ 4.463 | ¥ 6.468 |
m4.4xlarge.search | ¥ 73,652 | ¥ 8.408 | ¥ 37959 | ¥ 4.333 | ¥ 8.666 | ¥ 8.925 | ¥ 12.935 |
m4.10xlarge.search | ¥ 184,138 | ¥ 21.020 | ¥ 94902 | ¥10.834 | ¥ 21.667 | ¥ 22.314 | ¥ 32.339 |
m5.large.search |
¥ 8,508 | ¥ 0.971 | ¥ 4384 | ¥ 0.500 | ¥ 1.001 | ¥ 1.031 | ¥ 1.494 |
m5.xlarge.search |
¥ 17,016 | ¥ 1.942 | ¥ 8769 | ¥ 1.001 | ¥ 2.002 | ¥ 2.062 | ¥ 2.988 |
m5.2xlarge.search |
¥ 34,040 | ¥ 3.886 | ¥ 17543 | ¥ 2.003 | ¥ 4.005 | ¥ 4.125 | ¥ 5.978 |
m5.4xlarge.search |
¥ 68,079 | ¥ 7.771 | ¥ 35086 | ¥ 4.005 | ¥ 8.011 | ¥ 8.250 | ¥ 11.956 |
m5.12xlarge.search |
¥ 204,230 | ¥ 23.314 | ¥ 105258 | ¥12.016 | ¥ 24.032 | ¥ 24.749 | ¥ 35.868 |
计算优化型实例 - 最新一代 | |||||||
c6g.large.search | ¥ 5,540 | ¥ 0.632 | ¥ 2855 | ¥ 0.326 | ¥ 0.652 | ¥ 0.671 | ¥ 0.973 |
c6g.xlarge.search | ¥ 11,081 | ¥ 1.265 | ¥ 5711 | ¥ 0.652 | ¥ 1.304 | ¥ 1.343 | ¥ 1.946 |
c6g.2xlarge.search | ¥ 22,155 | ¥ 2.529 | ¥ 11419 | ¥ 1.303 | ¥ 2.607 | ¥ 2.685 | ¥ 3.891 |
c6g.4xlarge.search | ¥ 44,311 | ¥ 5.058 | ¥ 22837 | ¥ 2.607 | ¥ 5.214 | ¥ 5.370 | ¥ 7.782 |
c6g.8xlarge.search | ¥ 88,627 | ¥ 10.117 | ¥ 45677 | ¥ 5.214 | ¥ 10.429 | ¥ 10.740 | ¥ 15.565 |
c6g.12xlarge.search | ¥ 132,938 | ¥ 15.176 | ¥ 68514 | ¥ 7.821 | ¥ 15.642 | ¥ 16.109 | ¥ 23.347 |
c5.large.search | ¥ 6,206 | ¥ 0.708 | ¥ 3199 | ¥ 0.365 | ¥ 0.730 | ¥ 0.752 | ¥ 1.090 |
c5.xlarge.search | ¥ 12,424 | ¥ 1.418 | ¥ 6403 | ¥ 0.731 | ¥ 1.462 | ¥ 1.506 | ¥ 2.182 |
c5.2xlarge.search | ¥ 24,837 | ¥ 2.835 | ¥ 12801 | ¥ 1.461 | ¥ 2.922 | ¥ 3.010 | ¥ 4.362 |
c5.4xlarge.search | ¥ 49,680 | ¥ 5.671 | ¥ 25604 | ¥ 2.923 | ¥ 5.846 | ¥ 6.020 | ¥ 8.725 |
c5.9xlarge.search | ¥ 111,779 | ¥ 12.760 | ¥ 57609 | ¥ 6.576 | ¥ 13.152 | ¥ 13.545 | ¥ 19.631 |
c5.18xlarge.search | ¥ 223,546 | ¥ 25.519 | ¥ 115212 | ¥ 13.152 | ¥ 26.304 | ¥ 27.089 | ¥ 39.260 |
c4.large.search | ¥ 7,425 | ¥ 0.848 | ¥ 3827 | ¥ 0.437 | ¥ 0.874 | ¥ 0.900 | ¥ 1.304 |
c4.xlarge.search | ¥ 14,850 | ¥ 1.695 | ¥ 7653 | ¥ 0.874 | ¥ 1.747 | ¥ 1.800 | ¥ 2.608 |
c4.2xlarge.search | ¥ 29,694 | ¥ 3.390 | ¥ 15304 | ¥ 1.747 | ¥ 3.494 | ¥ 3.598 | ¥ 5.215 |
c4.4xlarge.search | ¥ 59,400 | ¥ 6.781 | ¥ 30614 | ¥ 3.495 | ¥ 6.989 | ¥ 7.198 | ¥ 10.432 |
c4.8xlarge.search | ¥ 118,788 | ¥ 13.560 | ¥ 61222 | ¥ 6.989 | ¥ 13.978 | ¥ 14.395 | ¥ 20.862 |
内存优化型实例 - 最新一代 | |||||||
r6g.large.search | ¥ 9,139 | ¥ 1.043 | ¥ 4710 | ¥ 0.538 | ¥ 1.075 | ¥ 1.107 | ¥ 1.605 |
r6g.xlarge.search | ¥ 18,272 | ¥ 2.086 | ¥ 9417 | ¥ 1.075 | ¥ 2.150 | ¥ 2.214 | ¥ 3.209 |
r6g.2xlarge.search | ¥ 36,550 | ¥ 4.172 | ¥ 18837 | ¥ 2.150 | ¥ 4.301 | ¥ 4.429 | ¥ 6.419 |
r6g.4xlarge.search | ¥ 73,094 | ¥ 8.344 | ¥ 37671 | ¥ 4.300 | ¥ 8.601 | ¥ 8.858 | ¥ 12.837 |
r6g.8xlarge.search | ¥ 146,188 | ¥ 16.688 | ¥ 75343 | ¥ 8.601 | ¥ 17.202 | ¥ 17.715 | ¥ 25.674 |
r6g.12xlarge.search | ¥ 219,287 | ¥ 25.033 | ¥ 113017 | ¥ 12.902 | ¥ 25.803 | ¥ 26.573 | ¥ 38.512 |
r5.large.search | ¥ 10,238 | ¥ 1.169 | ¥ 5276 | ¥ 0.602 | ¥ 1.204 | ¥ 1.241 | ¥ 1.798 |
r5.xlarge.search | ¥ 20,470 | ¥ 2.337 | ¥ 10550 | ¥ 1.204 | ¥ 2.408 | ¥ 2.481 | ¥ 3.595 |
r5.2xlarge.search | ¥ 40,934 | ¥ 4.673 | ¥ 21097 | ¥ 2.408 | ¥ 4.816 | ¥ 4.960 | ¥ 7.189 |
r5.4xlarge.search | ¥ 81,880 | ¥ 9.347 | ¥ 42200 | ¥ 4.817 | ¥ 9.634 | ¥ 9.922 | ¥ 14.380 |
r5.12xlarge.search | ¥ 245,628 | ¥ 28.040 | ¥ 126593 | ¥ 14.451 | ¥ 28.902 | ¥ 29.765 | ¥ 43.138 |
r4.large.search | ¥ 12,829 | ¥ 1.464 | ¥ 6612 | ¥ 0.755 | ¥ 1.510 | ¥ 1.555 | ¥ 2.253 |
r4.xlarge.search | ¥ 25,697 | ¥ 2.933 | ¥ 13244 | ¥ 1.512 | ¥ 3.024 | ¥ 3.114 | ¥ 4.513 |
r4.2xlarge.search | ¥ 51,348 | ¥ 5.862 | ¥ 26464 | ¥ 3.021 | ¥ 6.042 | ¥ 6.222 | ¥ 9.018 |
r4.4xlarge.search | ¥ 102,691 | ¥ 11.723 | ¥ 52926 | ¥ 6.042 | ¥ 12.084 | ¥ 12.444 | ¥ 18.035 |
r4.8xlarge.search | ¥ 205,434 | ¥ 23.451 | ¥ 105877 | ¥12.086 | ¥ 24.173 | ¥ 24.895 | ¥ 36.079 |
r4.16xlarge.search | ¥ 410,868 | ¥ 46.903 | ¥ 211755 | ¥24.173 | ¥ 48.346 | ¥ 49.789 | ¥ 72.158 |
OpenSearch 优化型 | |||||||
or1.medium.search | ¥ 5750.940 | ¥ 0.657 | ¥ 2960.880 | ¥ 0.338 | ¥ 0.677 | ¥ 0.697 | ¥ 1.010 |
or1.large.search | ¥ 11501.880 | ¥ 1.313 | ¥ 5930.520 | ¥ 0.677 | ¥ 1.353 | ¥ 1.394 | ¥ 2.020 |
or1.xlarge.search | ¥ 23015.148 | ¥ 2.627 | ¥ 11861.040 | ¥ 1.354 | ¥ 2.708 | ¥ 2.789 | ¥ 4.042 |
or1.2xlarge.search | ¥46035.990 | ¥ 5.255 | ¥ 23722.080 | ¥ 2.708 | ¥ 5.417 | ¥ 5.579 | ¥ 8.085 |
or1.4xlarge.search | ¥92066.286 | ¥ 10.510 | ¥ 47452.920 | ¥ 5.417 | ¥ 10.833 | ¥ 11.157 | ¥ 16.169 |
or1.8xlarge.search | ¥184138.266 | ¥ 21.020 | ¥ 94905.840 | ¥ 10.834 | ¥ 21.667 | ¥ 22.314 | ¥ 32.339 |
or1.12xlarge.search | ¥276204.552 | ¥ 31.530 | ¥ 142350.000 | ¥ 16.250 | ¥ 32.500 | ¥ 33.471 | ¥ 48.508 |
or1.16xlarge.search | ¥368276.532 | ¥ 42.041 | ¥ 189802.920 | ¥ 21.667 | ¥ 43.334 | ¥ 44.628 | ¥ 64.678 |
预付全部费用 | 预付部分费用 | 无预付费用 | 按需 | ||||
3 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
通用型实例 – 最新一代 | |||||||
t3.medium.search | ¥ 10,972 | ¥ 0.418 | ¥ 5648 | ¥ 0.215 | ¥ 0.430 | ¥ 0.442 | ¥ 0.614 |
m6g.large.search | ¥ 16,828 | ¥ 0.640 | ¥ 8764 | ¥ 0.334 | ¥ 0.667 | ¥ 0.694 | ¥ 1.334 |
m6g.xlarge.search | ¥ 33,655 | ¥ 1.281 | ¥ 17529 | ¥ 0.667 | ¥ 1.334 | ¥ 1.387 | ¥ 2.668 |
m6g.2xlarge.search | ¥ 67,323 | ¥ 2.562 | ¥ 35064 | ¥ 1.334 | ¥ 2.669 | ¥ 2.775 | ¥ 5.337 |
m6g.4xlarge.search | ¥ 134,633 | ¥ 5.123 | ¥ 70122 | ¥ 2.668 | ¥ 5.337 | ¥ 5.550 | ¥ 10.673 |
m6g.8xlarge.search | ¥ 269,280 | ¥ 10.247 | ¥ 140250 | ¥ 5.337 | ¥ 10.674 | ¥ 11.100 | ¥ 21.347 |
m6g.12xlarge.search | ¥ 403,913 | ¥ 15.370 | ¥ 210371 | ¥ 8.005 | ¥ 16.010 | ¥ 16.650 | ¥ 32.020 |
m5.large.search | ¥ 18,848 | ¥ 0.717 | ¥ 9817 | ¥ 0.374 | ¥ 0.747 | ¥ 0.777 | ¥ 1.494 |
m5.xlarge.search | ¥ 37,696 | ¥ 1.434 | ¥ 19633 | ¥ 0.747 | ¥ 1.494 | ¥ 1.554 | ¥ 2.988 |
m5.2xlarge.search | ¥ 75,411 | ¥ 2.870 | ¥ 39277 | ¥ 1.495 | ¥ 2.989 | ¥ 3.109 | ¥ 5.978 |
m5.4xlarge.search | ¥ 150,822 | ¥ 5.739 | ¥ 78553 | ¥ 2.989 | ¥ 5.978 | ¥ 6.217 | ¥ 11.956 |
m5.12xlarge.search | ¥ 452,448 | ¥ 17.216 | ¥ 235650 | ¥ 8.967 | ¥ 17.934 | ¥ 18.651 | ¥ 35.868 |
m4.large.search | ¥ 20,385 | ¥ 0.776 | ¥ 10617 | ¥ 0.404 | ¥ 0.808 | ¥ 0.840 | ¥ 1.616 |
m4.xlarge.search | ¥ 40,833 | ¥ 1.554 | ¥ 21267 | ¥ 0.809 | ¥ 1.618 | ¥ 1.683 | ¥ 3.237 |
m4.2xlarge.search | ¥ 81,590 | ¥ 3.105 | ¥ 42495 | ¥ 1.617 | ¥ 3.234 | ¥ 3.363 | ¥ 6.468 |
m4.4xlarge.search | ¥ 163,167 | ¥ 6.209 | ¥ 84983 | ¥ 3.234 | ¥ 6.468 | ¥ 6.726 | ¥ 12.935 |
m4.10xlarge.search | ¥ 407,937 | ¥ 15.523 | ¥ 212467 | ¥ 8.085 | ¥ 16.169 | ¥ 16.816 | ¥ 32.339 |
计算优化型实例 - 最新一代 | |||||||
c6g.large.search | ¥ 12,274 | ¥ 0.467 | ¥ 6393 | ¥ 0.243 | ¥ 0.487 | ¥ 0.506 | ¥ 0.973 |
c6g.xlarge.search | ¥ 24,548 | ¥ 0.934 | ¥ 12785 | ¥ 0.487 | ¥ 0.973 | ¥ 1.012 | ¥ 1.946 |
c6g.2xlarge.search | ¥ 49,083 | ¥ 1.868 | ¥ 25564 | ¥ 0.973 | ¥ 1.946 | ¥ 2.023 | ¥ 3.891 |
c6g.4xlarge.search | ¥ 98,165 | ¥ 3.735 | ¥ 51128 | ¥ 1.946 | ¥ 3.891 | ¥ 4.047 | ¥ 7.782 |
c6g.8xlarge.search | ¥ 196,343 | ¥ 7.471 | ¥ 102262 | ¥ 3.891 | ¥ 7.783 | ¥ 8.094 | ¥ 15.565 |
c6g.12xlarge.search | ¥ 294,508 | ¥ 11.207 | ¥ 153390 | ¥ 5.837 | ¥ 11.674 | ¥ 12.140 | ¥ 23.347 |
c5.large.search | ¥ 13,750 | ¥ 0.523 | ¥ 7161 | ¥ 0.273 | ¥ 0.545 | ¥ 0.567 | ¥ 1.090 |
c5.xlarge.search | ¥ 27,525 | ¥ 1.047 | ¥ 14336 | ¥ 0.546 | ¥ 1.092 | ¥ 1.135 | ¥ 2.182 |
c5.2xlarge.search | ¥ 55,024 | ¥ 2.094 | ¥ 28658 | ¥ 1.091 | ¥ 2.181 | ¥ 2.268 | ¥ 4.362 |
c5.4xlarge.search | ¥ 110,061 | ¥ 4.188 | ¥ 57323 | ¥ 2.181 | ¥ 4.362 | ¥ 4.537 | ¥ 8.725 |
c5.9xlarge.search | ¥ 247,633 | ¥ 9.423 | ¥ 128976 | ¥ 4.908 | ¥ 9.816 | ¥ 10.208 | ¥ 19.631 |
c5.18xlarge.search | ¥ 495,241 | ¥ 18.845 | ¥ 257938 | ¥ 9.815 | ¥ 19.630 | ¥ 20.415 | ¥ 39.260 |
c4.large.search | ¥ 16,449 | ¥ 0.626 | ¥ 8567 | ¥ 0.326 | ¥ 0.652 | ¥ 0.678 | ¥ 1.304 |
c4.xlarge.search | ¥ 32,898 | ¥ 1.252 | ¥ 17135 | ¥ 0.652 | ¥ 1.304 | ¥ 1.356 | ¥ 2.608 |
c4.2xlarge.search | ¥ 65,784 | ¥ 2.503 | ¥ 34263 | ¥ 1.304 | ¥ 2.608 | ¥ 2.712 | ¥ 5.215 |
c4.4xlarge.search | ¥ 131,593 | ¥ 5.007 | ¥ 68538 | ¥ 2.608 | ¥ 5.216 | ¥ 5.425 | ¥ 10.432 |
c4.8xlarge.search | ¥ 263,162 | ¥ 10.014 | ¥ 137063 | ¥ 5.215 | ¥ 10.431 | ¥ 10.848 | ¥ 20.862 |
内存优化型实例 - 最新一代 | |||||||
r6g.large.search | ¥ 20,246 | ¥ 0.770 | ¥ 10545 | ¥ 0.401 | ¥ 0.803 | ¥ 0.835 | ¥ 1.605 |
r6g.xlarge.search | ¥ 40,480 | ¥ 1.540 | ¥ 21083 | ¥ 0.802 | ¥ 1.605 | ¥ 1.669 | ¥ 3.209 |
r6g.2xlarge.search | ¥ 80,972 | ¥ 3.081 | ¥ 42173 | ¥ 1.605 | ¥ 3.210 | ¥ 3.338 | ¥ 6.419 |
r6g.4xlarge.search | ¥ 161,931 | ¥ 6.162 | ¥ 84339 | ¥ 3.209 | ¥ 6.419 | ¥ 6.675 | ¥ 12.837 |
r6g.8xlarge.search | ¥ 323,862 | ¥ 12.324 | ¥ 168678 | ¥ 6.419 | ¥ 12.837 | ¥ 13.350 | ¥ 25.674 |
r6g.12xlarge.search | ¥ 485,806 | ¥ 18.486 | ¥ 253024 | ¥ 9.628 | ¥ 19.256 | ¥ 20.026 | ¥ 38.512 |
r5.large.search | ¥ 22,681 | ¥ 0.863 | ¥ 11813 | ¥ 0.450 | ¥ 0.900 | ¥ 0.935 | ¥ 1.798 |
r5.xlarge.search | ¥ 45,349 | ¥ 1.726 | ¥ 23619 | ¥ 0.899 | ¥ 1.798 | ¥ 1.869 | ¥ 3.595 |
r5.2xlarge.search | ¥ 90,685 | ¥ 3.451 | ¥ 47232 | ¥ 1.797 | ¥ 3.594 | ¥ 3.738 | ¥ 7.189 |
r5.4xlarge.search | ¥ 181,395 | ¥ 6.902 | ¥ 94477 | ¥ 3.595 | ¥ 7.190 | ¥ 7.478 | ¥ 14.380 |
r5.12xlarge.search | ¥ 544,160 | ¥ 20.706 | ¥ 283417 | ¥ 10.785 | ¥ 21.570 | ¥ 22.432 | ¥ 43.138 |
r4.large.search | ¥ 28,420 | ¥ 1.081 | ¥ 14802 | ¥ 0.563 | ¥ 1.126 | ¥ 1.172 | ¥ 2.253 |
r4.xlarge.search | ¥ 56,929 | ¥ 2.166 | ¥ 29650 | ¥ 1.128 | ¥ 2.256 | ¥ 4.513 | ¥ 4.513 |
r4.2xlarge.search | ¥ 113,757 | ¥ 4.329 | ¥ 59248 | ¥ 2.255 | ¥ 4.509 | ¥ 4.689 | ¥ 9.018 |
r4.4xlarge.search | ¥ 227,501 | ¥ 8.657 | ¥ 118490 | ¥ 4.509 | ¥ 9.018 | ¥ 9.378 | ¥ 18.035 |
r4.8xlarge.search | ¥ 455,115 | ¥ 17.318 | ¥ 237039 | ¥ 9.020 | ¥ 18.039 | ¥ 18.761 | ¥ 36.079 |
r4.16xlarge.search | ¥ 910,230 | ¥ 34.636 | ¥ 474078 | ¥18.040 | ¥ 36.079 | ¥ 37.522 | ¥ 72.158 |
OpenSearch 优化型 | |||||||
or1.medium.search | ¥ 12740.54 | ¥ 0.48 | ¥ 6648.84 | ¥ 0.25 | ¥ 0.51 | ¥ 0.53 | ¥ 1.01 |
or1.large.search | ¥ 25481.09 | ¥ 0.97 | ¥ 13271.40 | ¥ 0.51 | ¥ 1.01 | ¥ 1.05 | ¥ 2.02 |
or1.xlarge.search | ¥ 50987.41 | ¥ 1.94 | ¥ 26569.08 | ¥ 1.01 | ¥ 2.02 | ¥ 2.10 | ¥ 4.04 |
or1.2xlarge.search | ¥ 101987.42 | ¥ 3.88 | ¥ 53111.88 | ¥ 2.02 | ¥ 4.04 | ¥ 4.20 | ¥ 8.09 |
or1.4xlarge.search | ¥203962.23 | ¥ 7.76 | ¥ 106223.76 | ¥ 4.04 | ¥ 8.08 | ¥ 8.41 | ¥ 16.17 |
or1.8xlarge.search | ¥ 407937.08 | ¥ 15.52 | ¥ 212473.80 | ¥ 8.09 | ¥ 16.17 | ¥ 16.82 | ¥ 32.34 |
or1.12xlarge.search | ¥ 611899.32 | ¥ 23.28 | ¥ 318697.56 | ¥ 12.13 | ¥ 24.25 | ¥ 25.22 | ¥ 48.51 |
or1.16xlarge.search | ¥ 815874.16 | ¥ 31.05 | ¥ 424947.60 | ¥ 16.17 | ¥ 32.34 | ¥ 33.63 | ¥ 64.68 |
* 有效小时定价可帮助您计算预留实例比按需定价节省的成本。当您购买预留实例时,在您选择的整个预留实例期限内,系统会按小时计费,无论该实例是否在运行。有效小时价格显示摊销的每小时实例成本。这将采用预留实例在整个期限内的总成本,包括任何预付款项,并将该成本分散到该预留实例期限内的每个小时。
Amazon EBS 卷定价(选择 EBS 卷时适用)
Amazon OpenSearch Service 允许您选择 Amazon EBS 卷的类型。如果您选择预置 IOPS (SSD) 存储,则需要为预置的存储和吞吐量付费。但是,您不必为消耗的 I/O 付费。
定价 | |
---|---|
Amazon EBS 标准卷 | |
通用型 SSD(gp2)– 存储 | 每月每 GB ¥ 1.007 |
通用型 SSD(gp3)– 存储 | 每月每 GB ¥ 0.9101 |
通用型 SSD(gp3)– IOPS | 对于大小不超过 1024 GiB 的卷,可免费使用 3000 IOPS,对于大小超过 1024 GiB 的卷(最大 IOPS 限制为 16000),可免费使用 3 IOPS/GiB。超出免费限制的每月预调配 IOPS ¥0.0597 |
通用型 SSD(gp3)– 吞吐量 | 对于大小不超过 170 GiB 的卷,可免费使用 125 MiB/s,对于大小超过 170 GiB 的卷,每 3 TiB 可免费增加 250 MiB/s。超出免费限制的每月预调配 MiB/s ¥ 0.4774 |
磁性存储 | 每月每 GB ¥ 0.552 |
Amazon EBS 预配置 IOPS 卷 | |
存储费率 | 每月每 GB ¥ 1.158 |
预配置 IOPS 费率 | 每月每个 IOPS ¥ 0.605 |
UltraWarm 和冷存储定价
UltraWarm 是用于 Amazon OpenSearch Service 的一个层,允许您经济地保留大量数据,同时获得相同的交互式分析体验。 了解详情 »
冷存储是 Amazon OpenSearch Service 成本最低的存储层,可让您在 Amazon S3 中分离和存储不经常访问的数据,并且您只在需要时为计算付费。 了解详情 »
按需 UltraWarm 实例定价
vCPU |
内存 (GiB) |
每节点最大托管存储 (TiB) * |
每小时价格 |
|
ultrawarm1.medium.search |
2 | 15.25 | 1.5 | ¥1.787 |
ultrawarm1.large.search |
16 | 122 | 20 | ¥20.111 |
* 仅主要分片计入总托管存储使用。
UltraWarm 预留实例有三种付款选项:
- 无预付预留实例 (NURI) – 与按需实例定价相比,NURI 可以显著节省费用。您无需预付任何费用,但承诺在一年或三年期限内为预留实例付费。一年期 NURI 提供 25% 的折扣,三年期 NURI 提供 30% 的折扣。
- 预付部分费用的预留实例 (PURI) – PURI 比 NURI 节省更多。此选项要求您预付总费用的一部分,并在期限内按小时数支付剩余的费用。一年期 PURI 提供 27% 的折扣,三年期 PURI 提供 32% 的折扣。
- 预付全部费用的预留实例 (AURI) – AURI 提供所有预留实例付款选项中最大的节省。您只需为整个预留期限支付一笔预付款,无需按小时数支付任何费用。一年期 AURI 提供 29% 的折扣,三年期 AURI 提供 34% 的折扣。
预付全部费用 | 预付部分费用 | 无预付费用 | 按需 | ||||
1 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
ultrawarm1.medium.search | ¥ 11114 | ¥ 1.268 | ¥ 5714 | ¥ 0.652 | ¥ 7.341 | ¥ 1.34 | ¥ 1.787 |
ultrawarm1.large.search | ¥ 125082 | ¥ 14.279 | ¥ 64303 | ¥ 7.341 |
¥ 14.682 | ¥ 15.083 | ¥ 20.111 |
3 年期 | 预付全部费用 | 每小时有效价格* | 预付 | 每小时 | 每小时有效价格* | 每小时 | 每小时 |
ultrawarm1.medium.search | ¥ 30995 | ¥ 1.179 | ¥ 15967 | ¥ 0.608 | ¥ 1.216 | ¥ 1.216 | ¥ 1.787 |
ultrawarm1.large.search | ¥ 348821 | ¥ 13.273 | ¥ 179696 | ¥ 6.838 | ¥ 1.216 | ¥ 14.078 | ¥ 20.111 |
* 通过与按需定价对比,有效小时定价可帮助您计算预留实例比按需定价节省的成本。当您购买预留实例时,在您选择的整个预留实例期限内,系统会按小时计费,无论该实例是否在运行。有效小时价格显示摊销的每小时实例成本。这将采用预留实例在整个期限内的总成本,包括任何预付款项,并将该成本分散到该预留实例期限内的每个小时。
托管存储定价
存储类型 | 定价 |
托管存储 | 每月每 GB ¥0.207 |
注意:托管存储定价适用于 UltraWarm 和冷存储数据。
标准亚马逊云科技数据传输费
您需要为传入和传出 Amazon OpenSearch Service 的数据支付标准数据传输费用。您不需为 Amazon OpenSearch Service 域内节点之间的数据传输付费。
免费自动快照存储
Amazon OpenSearch Service 通过自动和手动集群快照提供改善的数据持久性。给服务为每个 Amazon OpenSearch Service 域免费提供自动快照存储空间,并将这些快照保留 14 天。手动快照存储在 Amazon S3 中,并且须支付标准 Amazon S3 使用费用。免费提供快照数据传输。