Billing methods
The table below outlines the billing methods available for OpenSearch Retrieval Engine Edition.
Billing method | Description |
Pay-as-you-go | With the pay-as-you-go method, you use resources before paying for them. Billing occurs hourly, and fees are deducted from your Alibaba Cloud account balance based on the instance specifications. This method is ideal for short-term needs, and you can release the instance when it's no longer required to avoid further charges. |
Subscription | The subscription method involves upfront payment upon instance creation. It offers a more cost-effective solution compared to pay-as-you-go for long-term use. |
Instance fee structure
OpenSearch Retrieval Engine Edition's fees are determined by six components: instance rental, QRS worker usage, Searcher worker usage, Searcher worker storage, index storage, and data update resource fees.
Total instance fee = Instance rental fee + QRS worker usage fee + Searcher worker usage fee + Searcher worker storage fee + Index storage fee + Data update resource fee
Instance rental, QRS worker, and Searcher worker fees
Pay-as-you-go
Instance rental fee = Unit price of instance rental × Hours used
QRS worker usage fee = Unit price of QRS worker usage × Hours used × Number of QRS workers
Searcher worker usage fee = Unit price of Searcher worker usage × Hours used × Number of Searcher workers
Region | Billable item | Worker family | Available specifications | Unit price (USD) | Unit |
Singapore and Germany (Frankfurt) | Instance rental | - | - | 0.084094 | Per resource-hour |
QRS worker usage | Local SSD | 2 CPU cores and 8 GB of memory | 0.095179 | Per resource-hour | |
4 CPU cores and 16 GB of memory | 0.190359 | Per resource-hour | |||
8 CPU cores and 32 GB of memory | 0.380719 | Per resource-hour | |||
Cloud disk | 2 CPU cores and 8 GB of memory | 0.082765 | Per resource-hour | ||
4 CPU cores and 16 GB of memory | 0.165531 | Per resource-hour | |||
8 CPU cores and 32 GB of memory | 0.331062 | Per resource-hour | |||
Searcher worker usage | Local SSD | 2 CPU cores and 16 GB of memory | 0.115009 | Per resource-hour | |
4 CPU cores and 32 GB of memory | 0.230018 | Per resource-hour | |||
6 CPU cores and 48 GB of memory | 0.345026 | Per resource-hour | |||
8 CPU cores and 64 GB of memory | 0.460035 | Per resource-hour | |||
10 CPU cores and 80 GB of memory | 0.575044 | Per resource-hour | |||
12 CPU cores and 96 GB of memory | 0.690053 | Per resource-hour | |||
14 CPU cores and 112 GB of memory | 0.805062 | Per resource-hour | |||
16 CPU cores and 128 GB of memory | 0.919855 | Per resource-hour | |||
Cloud disk | 2 CPU cores and 16 GB of memory | 0.101875 | Per resource-hour | ||
4 CPU cores and 16 GB of memory | 0.165531 | Per resource-hour | |||
4 CPU cores and 32 GB of memory | 0.203750 | Per resource-hour | |||
8 CPU cores and 16 GB of memory | 0.257138 | Per resource-hour | |||
8 CPU cores and 32 GB of memory | 0.331062 | Per resource-hour | |||
8 CPU cores and 64 GB of memory | 0.407499 | Per resource-hour | |||
12 CPU cores and 24 GB of memory | 0.385707 | Per resource-hour | |||
12 CPU cores and 48 GB of memory | 0.496593 | Per resource-hour | |||
12 CPU cores and 96 GB of memory | 0.611249 | Per resource-hour | |||
16 CPU cores and 32 GB of memory | 0.514276 | Per resource-hour | |||
16 CPU cores and 64 GB of memory | 0.662124 | Per resource-hour | |||
16 CPU cores and 128 GB of memory | 0.814998 | Per resource-hour | |||
24 CPU cores and 48 GB of memory | 0.771413 | Per resource-hour | |||
China (Hong Kong) | Instance rental | - | - | 0.084094 | Per resource-hour |
QRS worker usage | Local SSD | 2 CPU cores and 8 GB of memory | 0.132944 | Per resource-hour | |
4 CPU cores and 16 GB of memory | 0.265888 | Per resource-hour | |||
8 CPU cores and 32 GB of memory | 0.531777 | Per resource-hour | |||
Cloud disk | 2 CPU cores and 8 GB of memory | 0.152524 | Per resource-hour | ||
4 CPU cores and 16 GB of memory | 0.305048 | Per resource-hour | |||
8 CPU cores and 32 GB of memory | 0.610095 | Per resource-hour | |||
Searcher worker usage | Local SSD | 2 CPU cores and 16 GB of memory | 0.184228 | Per resource-hour | |
4 CPU cores and 32 GB of memory | 0.368456 | Per resource-hour | |||
6 CPU cores and 48 GB of memory | 0.552684 | Per resource-hour | |||
8 CPU cores and 64 GB of memory | 0.735199 | Per resource-hour | |||
10 CPU cores and 80 GB of memory | 0.921141 | Per resource-hour | |||
12 CPU cores and 96 GB of memory | 1.105369 | Per resource-hour | |||
14 CPU cores and 112 GB of memory | 1.289597 | Per resource-hour | |||
16 CPU cores and 128 GB of memory | 1.470398 | Per resource-hour | |||
Cloud disk | 2 CPU cores and 16 GB of memory | 0.193654 | Per resource-hour | ||
4 CPU cores and 16 GB of memory | 0.305048 | Per resource-hour | |||
4 CPU cores and 32 GB of memory | 0.387308 | Per resource-hour | |||
8 CPU cores and 16 GB of memory | 0.459285 | Per resource-hour | |||
8 CPU cores and 32 GB of memory | 0.610095 | Per resource-hour | |||
8 CPU cores and 64 GB of memory | 0.774615 | Per resource-hour | |||
12 CPU cores and 24 GB of memory | 0.688928 | Per resource-hour | |||
12 CPU cores and 48 GB of memory | 0.915143 | Per resource-hour | |||
12 CPU cores and 96 GB of memory | 1.161923 | Per resource-hour | |||
16 CPU cores and 32 GB of memory | 0.918570 | Per resource-hour | |||
16 CPU cores and 64 GB of memory | 1.220190 | Per resource-hour | |||
16 CPU cores and 128 GB of memory | 1.549230 | Per resource-hour | |||
24 CPU cores and 48 GB of memory | 1.377855 | Per resource-hour |
For businesses with low queries per second (QPS) but a large index count, we recommend instance specifications with local SSDs. For high QPS or memory-storable indexes, cloud disks are preferable.
After purchasing Searcher workers, you can assign replicas and shards to the instance. The number of Searcher workers should not exceed the product of the number of replicas and shards. Adjustments to the number of replicas can be made in the Basic Information section of the Instance Details page, and shard numbers can be modified in the Table Information section of the Table Management page.
Each Cloud Disk type Searcher worker reserves a fixed amount of storage for system use, varying by specification. For instance, a Searcher worker with 2 CPU cores and 16 GB of memory or 4 CPU cores and 32 GB of memory reserves 2 GB for the system. One with 8 CPU cores and 64 GB of memory reserves 3 GB, and one with 16 CPU cores and 128 GB of memory reserves 5 GB. Local SSD type Searcher workers do not reserve system storage.
Subscription
Region | Billable item | Worker family | Available specifications | Unit price (USD) | Unit |
Singapore and Germany (Frankfurt) | Instance rental | - | - | 54.4930 | Per worker-month |
QRS worker usage | Local SSD | 2 CPU cores and 8 GB of memory | 61.6758 | Per worker-month | |
4 CPU cores and 16 GB of memory | 123.3529 | Per worker-month | |||
8 CPU cores and 32 GB of memory | 246.7059 | Per worker-month | |||
Cloud disk | 2 CPU cores and 8 GB of memory | 53.6320 | Per worker-month | ||
4 CPU cores and 16 GB of memory | 107.2640 | Per worker-month | |||
8 CPU cores and 32 GB of memory | 214.5281 | Per worker-month | |||
Searcher worker usage | Local SSD | 2 CPU cores and 16 GB of memory | 74.5257 | Per worker-month | |
4 CPU cores and 32 GB of memory | 149.0514 | Per worker-month | |||
6 CPU cores and 48 GB of memory | 223.5771 | Per worker-month | |||
8 CPU cores and 64 GB of memory | 298.1028 | Per worker-month | |||
10 CPU cores and 80 GB of memory | 372.6285 | Per worker-month | |||
12 CPU cores and 96 GB of memory | 447.1543 | Per worker-month | |||
14 CPU cores and 112 GB of memory | 521.6800 | Per worker-month | |||
16 CPU cores and 128 GB of memory | 596.0662 | Per worker-month | |||
Cloud disk | 2 CPU cores and 16 GB of memory | 66.0149 | Per worker-month | ||
4 CPU cores and 16 GB of memory | 107.2640 | Per worker-month | |||
4 CPU cores and 32 GB of memory | 132.0297 | Per worker-month | |||
8 CPU cores and 16 GB of memory | 166.6253 | Per worker-month | |||
8 CPU cores and 32 GB of memory | 214.5281 | Per worker-month | |||
8 CPU cores and 64 GB of memory | 264.0594 | Per worker-month | |||
12 CPU cores and 24 GB of memory | 249.9379 | Per worker-month | |||
12 CPU cores and 48 GB of memory | 321.7921 | Per worker-month | |||
12 CPU cores and 96 GB of memory | 396.0892 | Per worker-month | |||
16 CPU cores and 32 GB of memory | 333.2505 | Per worker-month | |||
16 CPU cores and 64 GB of memory | 429.0562 | Per worker-month | |||
16 CPU cores and 128 GB of memory | 528.1189 | Per worker-month | |||
24 CPU cores and 48 GB of memory | 499.8758 | Per worker-month | |||
China (Hong Kong) | Instance rental | - | - | 51.4656 | Per worker-month |
QRS worker usage | Local SSD | 2 CPU cores and 8 GB of memory | 81.3618 | Per worker-month | |
4 CPU cores and 16 GB of memory | 162.7236 | Per worker-month | |||
8 CPU cores and 32 GB of memory | 325.4473 | Per worker-month | |||
Cloud disk | 2 CPU cores and 8 GB of memory | 93.3445 | Per worker-month | ||
4 CPU cores and 16 GB of memory | 186.6891 | Per worker-month | |||
8 CPU cores and 32 GB of memory | 373.3781 | Per worker-month | |||
Searcher worker usage | Local SSD | 2 CPU cores and 16 GB of memory | 112.7476 | Per worker-month | |
4 CPU cores and 32 GB of memory | 225.4952 | Per worker-month | |||
6 CPU cores and 48 GB of memory | 338.2428 | Per worker-month | |||
8 CPU cores and 64 GB of memory | 449.9416 | Per worker-month | |||
10 CPU cores and 80 GB of memory | 563.7381 | Per worker-month | |||
12 CPU cores and 96 GB of memory | 676.4857 | Per worker-month | |||
14 CPU cores and 112 GB of memory | 789.2333 | Per worker-month | |||
16 CPU cores and 128 GB of memory | 899.8833 | Per worker-month | |||
Cloud disk | 2 CPU cores and 16 GB of memory | 118.5161 | Per worker-month | ||
4 CPU cores and 16 GB of memory | 186.6891 | Per worker-month | |||
4 CPU cores and 32 GB of memory | 237.0322 | Per worker-month | |||
8 CPU cores and 16 GB of memory | 281.0824 | Per worker-month | |||
8 CPU cores and 32 GB of memory | 373.3781 | Per worker-month | |||
8 CPU cores and 64 GB of memory | 474.0644 | Per worker-month | |||
12 CPU cores and 24 GB of memory | 421.6236 | Per worker-month | |||
12 CPU cores and 48 GB of memory | 560.0672 | Per worker-month | |||
12 CPU cores and 96 GB of memory | 711.0966 | Per worker-month | |||
16 CPU cores and 32 GB of memory | 562.1648 | Per worker-month | |||
16 CPU cores and 64 GB of memory | 746.7563 | Per worker-month | |||
16 CPU cores and 128 GB of memory | 948.1288 | Per worker-month | |||
24 CPU cores and 48 GB of memory | 843.2473 | Per worker-month | |||
24 CPU cores and 48 GB memory | 843.2473 | USD per instance-month |
Searcher worker storage fee
Pay-as-you-go
Region | Billable item | Searcher worker family | Searcher worker specifications | Free storage space | Range of storage space (GB) | Step size for purchase (GB) | Unit price (USD) | Unit |
Singapore and Germany (Frankfurt) | Searcher worker storage | Local SSD | 2 CPU cores and 16 GB of memory | 100 GB | [100 GB,200 GB] | 50 GB | 0.000081 | Per GB-hour |
4 CPU cores and 32 GB of memory | 200 GB | [200 GB,600 GB] | ||||||
6 CPU cores and 48 GB of memory | 300 GB | [300 GB,700 GB] | ||||||
8 CPU cores and 64 GB of memory | 400 GB | [400 GB,800 GB] | ||||||
10 CPU cores and 80 GB of memory | 500 GB | [500 GB,900 GB] | ||||||
12 CPU cores and 96 GB of memory | 600 GB | [600 GB,1000 GB] | ||||||
14 CPU cores and 112 GB of memory | 700 GB | [700 GB,1100 GB] | ||||||
16 CPU cores and 128 GB of memory | 800 GB | [800 GB,1200 GB] | ||||||
Cloud disk | 2 CPU cores and 16 GB of memory | 0 GB | [100 GB,200 GB] | 0.000195 | ||||
4 CPU cores and 16 GB of memory | [100 GB,200 GB] | |||||||
4 CPU cores and 32 GB of memory | [100 GB,600 GB] | |||||||
8 CPU cores and 16 GB of memory | [100 GB,200 GB] | |||||||
8 CPU cores and 32 GB of memory | [100 GB,600 GB] | |||||||
8 CPU cores and 64 GB of memory | [100 GB,800 GB] | |||||||
12 CPU cores and 24 GB of memory | [100 GB,500 GB] | |||||||
12 CPU cores and 48 GB of memory | [100 GB,700 GB] | |||||||
12 CPU cores and 96 GB of memory | [100 GB,1000 GB] | |||||||
16 CPU cores and 32 GB of memory | [100 GB,600 GB] | |||||||
16 CPU cores and 64 GB of memory | [100 GB,800 GB] | |||||||
16 CPU cores and 128 GB of memory | [100 GB,1200 GB] | |||||||
24 CPU cores and 48 GB of memory | [100 GB,700 GB] | |||||||
China (Hong Kong) | Searcher worker storage | Local SSD | 2 CPU cores and 16 GB of memory | 100 GB | [100 GB,200 GB] | 50 GB | 0.000081 | Per GB-hour |
4 CPU cores and 32 GB of memory | 200 GB | [200 GB,600 GB] | ||||||
6 CPU cores and 48 GB of memory | 300 GB | [300 GB,700 GB] | ||||||
8 CPU cores and 64 GB of memory | 400 GB | [400 GB,800 GB] | ||||||
10 CPU cores and 80 GB of memory | 500 GB | [500 GB,900 GB] | ||||||
12 CPU cores and 96 GB of memory | 600 GB | [600 GB,1000 GB] | ||||||
14 CPU cores and 112 GB of memory | 700 GB | [700 GB,1100 GB] | ||||||
16 CPU cores and 128 GB of memory | 800 GB | [800 GB,1200 GB] | ||||||
Cloud disk | 2 CPU cores and 16 GB of memory | 0 GB | [100 GB,200 GB] | 0.000216 | ||||
4 CPU cores and 16 GB of memory | [100 GB,200 GB] | |||||||
4 CPU cores and 32 GB of memory | [100 GB,600 GB] | |||||||
8 CPU cores and 16 GB of memory | [100 GB,200 GB] | |||||||
8 CPU cores and 32 GB of memory | [100 GB,600 GB] | |||||||
8 CPU cores and 64 GB of memory | [100 GB,800 GB] | |||||||
12 CPU cores and 24 GB of memory | [100 GB,500 GB] | |||||||
12 CPU cores and 48 GB of memory | [100 GB,700 GB] | |||||||
12 CPU cores and 96 GB of memory | [100 GB,1000 GB] | |||||||
16 CPU cores and 32 GB of memory | [100 GB,600 GB] | |||||||
16 CPU cores and 64 GB of memory | [100 GB,800 GB] | |||||||
16 CPU cores and 128 GB of memory | [100 GB,1200 GB] | |||||||
24 CPU cores and 48 GB of memory | [100 GB,700 GB] |
Subscription
Billable item | Searcher worker family | Unit price (USD) | Unit | |
Singapore and Germany (Frankfurt) | Searcher worker storage | Local SSD | 0.0522 | Per GB-month |
Cloud disk | 0.1262 | Per GB-month | ||
China (Hong Kong) | Local SSD | 0.0493 | Per GB-month | |
Cloud disk | 0.1320 | Per GB-month |
Index storage fee
The OpenSearch Retrieval Engine Edition bills for index storage according to the size of the indexes.
Index storage fees are based on the total size of indexes within an instance. Index storage up to 100 GB is free. Beyond that, charges apply for the additional index size at the specified unit price.
Pay-as-you-go
Region | Billable item | Unit price (USD) | Unit |
Singapore and Germany (Frankfurt) | Index storage | 0.000049 | Per GB-hour |
China (Hong Kong) | Index storage | 0.000061 | Per GB-hour |
Data update fee
The OpenSearch Retrieval Engine Edition billing is based on the resources consumed during data updates.
Data update fees are calculated based on the number of resources utilized. OpenSearch provides a free quota of two resources per data source or table, each consisting of 4 CPU cores and 8 GB of memory for data updates. Additional resources beyond the quota are billable.
Pay-as-you-go
Region | Billable item | Unit price (USD) | Unit |
Singapore and Germany (Frankfurt) | Number of resources used for data update | 0.101095 | Per resource-hour |
China (Hong Kong) | Number of resources used for data update | 0.103792 | Per resource-hour |