This topic provides an overview of the billing of OpenSearch Vector Search Edition.
Billing methods
The following table describes the billing method that is supported by OpenSearch Vector Search Edition.
Billing method | Description |
Pay-as-you-go | The pay-as-you-go billing method allows you to use resources first and pay for them afterward. The system generates a bill per hour and deducts fees from the balance of your Alibaba Cloud account based on the instance specifications. This billing method is suitable for short-term use. You can release a pay-as-you-go instance if you no longer need the instance. This helps reduce costs. |
Subscription | With the subscription billing method, you are charged upfront when you create an instance. This billing method is more cost-effective than the pay-as-you-go billing method for long-term use. |
Instance fee
OpenSearch Vector Search Edition charges are based on instances. The billable items related to instances include instance rental, QRS worker usage, Searcher worker usage, Searcher worker storage, index storage, and data update resources.
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
Fees for instance rental, QRS worker usage, and Searcher worker usage
Pay-as-you-go
Instance rental fee = Unit price of instance rental × Usage duration in hours
QRS worker usage fee = Unit price of QRS worker usage × Usage duration in hours × Number of QRS workers
Searcher worker usage fee = Unit price of Searcher worker usage × Usage duration in hours × Number of Searcher workers
Region | Billable item | Work family | Available specifications | Unit price (USD) | Unit |
Singapore and Germany (Frankfurt) | Instance Rental | - | - | 0.084094 | Per instance-hour |
QRS Workers | Local SSD | 2 CPU cores and 8 GB RAM | 0.095179 | Per instance-hour | |
4 CPU cores and 16 GB memory | 0.190359 | Per instance-hour | |||
8 CPU cores and 32 GB memory | 0.380719 | Per instance-hour | |||
Cloud Disk | 2 CPU Cores and 8 GB Memory | 0.082765 | Per instance-hour | ||
4 CPU cores and 16 GB memory | 0.165531 | Per instance-hour | |||
8 CPU cores and 32 GB memory | 0.331062 | Per instance-hour | |||
Searcher Workers | Local SSD | 2 CPU Cores and 16 GB Memory | 0.115009 | Per instance-hour | |
4 CPU cores and 32 GB memory | 0.230018 | Per instance-hour | |||
6 CPU cores and 48 GB memory | 0.345026 | Per instance-hour | |||
8 CPU cores and 64 GB memory | 0.460035 | Per instance-hour | |||
10 CPU cores and 80 GB memory | 0.575044 | Per instance-hour | |||
12 CPU cores and 96 GB memory | 0.690053 | Per instance-hour | |||
14 CPU cores and 112 GB memory | 0.805062 | Per instance-hour | |||
16 CPU cores and 128 GB memory | 0.919855 | Per instance-hour | |||
Cloud Disk | 2 CPU Cores and 16 GB Memory | 0.101875 | Per instance-hour | ||
4 CPU cores and 16 GB memory | 0.165531 | Per instance-hour | |||
4 CPU cores and 32 GB memory | 0.203750 | Per instance-hour | |||
8 CPU cores and 16 GB memory | 0.257138 | Per instance-hour | |||
8 CPU cores and 32 GB memory | 0.331062 | Per instance-hour | |||
8 CPU cores and 64 GB memory | 0.407499 | Per instance-hour | |||
12 CPU cores and 24 GB memory | 0.385707 | Per instance-hour | |||
12 CPU cores and 48 GB memory | 0.496593 | Per instance-hour | |||
12 CPU cores and 96 GB memory | 0.611249 | Per instance-hour | |||
16 CPU cores and 32 GB of memory | 0.514276 | Per instance-hour | |||
16 CPU cores and 64 GB memory | 0.662124 | Per instance-hour | |||
16 CPU cores and 128 GB of memory | 0.814998 | Per instance-hour | |||
24 CPU cores and 48 GB memory | 0.771413 | Per instance-hour | |||
China (Hong Kong) | Instance Rental | - | - | 0.084094 | Per instance-hour |
QRS Workers | Local SSD | 2 CPU cores and 8 GB memory | 0.132944 | Per instance-hour | |
4 CPU cores and 16 GB memory | 0.265888 | Per instance-hour | |||
8 CPU cores and 32 GB memory | 0.531777 | Per instance-hour | |||
Cloud Disk | 2 CPU Cores and 8 GB Memory | 0.152524 | Per instance-hour | ||
4 CPU cores and 16 GB memory | 0.305048 | Per instance-hour | |||
8 CPU cores and 32 GB of memory | 0.610095 | Per instance-hour | |||
Searcher Workers | Local SSD | 2 CPU Cores and 16 GB Memory | 0.184228 | Per instance-hour | |
4 CPU cores and 32 GB memory | 0.368456 | Per instance-hour | |||
6 CPU cores and 48 GB of memory | 0.552684 | Per instance-hour | |||
8 CPU cores and 64 GB memory | 0.735199 | Per instance-hour | |||
10 CPU cores and 80 GB memory | 0.921141 | Per instance-hour | |||
12 CPU cores and 96 GB memory | 1.105369 | Per instance-hour | |||
14 CPU cores and 112 GB memory | 1.289597 | Per instance-hour | |||
16 CPU cores and 128 GB memory | 1.470398 | Per instance-hour | |||
Cloud Disk | 2 CPU Cores and 16 GB Memory | 0.193654 | Per instance-hour | ||
4 CPU cores and 16 GB memory | 0.305048 | Per instance-hour | |||
4 CPU cores and 32 GB memory | 0.387308 | Per instance-hour | |||
8 CPU cores and 16 GB memory | 0.459285 | Per instance-hour | |||
8 CPU cores and 32 GB memory | 0.610095 | Per instance-hour | |||
8 CPU cores and 64 GB memory | 0.774615 | Per instance-hour | |||
12 CPU cores and 24 GB memory | 0.688928 | Per instance-hour | |||
12 CPU cores and 48 GB memory | 0.915143 | Per instance-hour | |||
12 CPU cores and 96 GB memory | 1.161923 | Per instance-hour | |||
16 CPU cores and 32 GB memory | 0.918570 | Per instance-hour | |||
16 CPU cores and 64 GB memory | 1.220190 | Per instance-hour | |||
16 CPU cores and 128 GB memory | 1.549230 | Per instance-hour | |||
24 CPU cores and 48 GB memory | 1.377855 | Per instance-hour |
Recommendations on worker families: If your business involves a low queries per second (QPS) but a large number of indexes, we recommend that you select instance specifications that use local SSDs. If your business involves a high QPS or the indexes can be stored in the memory, we recommend that you select instance specifications that use cloud disks.
Allocation of Searcher workers: After you purchase Searcher workers, you can allocate replicas and data shards for the instance. The number of Searcher workers must be less than the number of Searcher worker replicas multiplied by the number of data shards. You can modify the number of Searcher worker replicas in the Basic Information section on the Instance Details page and modify the number of data shards in the Table Information section on the Table Management page.
Space occupied by the system: Each Searcher worker of the Cloud Disk type has a fixed storage space to be occupied by the system. The fixed storage space occupied varies with the Searcher worker specifications. In a Searcher worker that has 2 CPU cores and 16 GB of memory or 4 CPU cores and 32 GB of memory, 2 GB of storage space is occupied by the system. In a Searcher worker that has 8 CPU cores and 64 GB of memory, 3 GB of storage space is occupied by the system. In a Searcher worker that has 16 CPU cores and 128 GB of memory, 5 GB of storage space is occupied by the system. If you use Searcher workers of the Local SSD type, no fixed storage space is occupied by the system.
Subscription
Region | Billable item | Worker family | Available specifications | Unit price (USD) | Unit |
Singapore and Germany (Frankfurt) | Instance rental | - | - | 54.4930 | Per instance-month |
QRS worker usage | Local SSD | 2 CPU cores and 8 GB of memory | 61.6758 | Per instance-month | |
4 CPU cores and 16 GB of memory | 123.3529 | Per instance-month | |||
8 CPU cores and 32 GB of memory | 246.7059 | Per instance-month | |||
Cloud disk | 2 CPU cores and 8 GB of memory | 53.6320 | Per instance-month | ||
4 CPU cores and 16 GB of memory | 107.2640 | Per instance-month | |||
8 CPU cores and 32 GB of memory | 214.5281 | Per instance-month | |||
Searcher worker usage | Local SSD | 2 CPU cores and 16 GB of memory | 74.5257 | Per instance-month | |
4 CPU cores and 32 GB of memory | 149.0514 | Per instance-month | |||
6 CPU cores and 48 GB of memory | 223.5771 | Per instance-month | |||
8 CPU cores and 64 GB of memory | 298.1028 | Per instance-month | |||
10 CPU cores and 80 GB of memory | 372.6285 | Per instance-month | |||
12 CPU cores and 96 GB of memory | 447.1543 | Per instance-month | |||
14 CPU cores and 112 GB of memory | 521.6800 | Per instance-month | |||
16 CPU cores and 128 GB of memory | 596.0662 | Per instance-month | |||
Cloud disk | 2 CPU cores and 16 GB of memory | 66.0149 | Per instance-month | ||
4 CPU cores and 16 GB of memory | 107.2640 | Per instance-month | |||
4 CPU cores and 32 GB of memory | 132.0297 | Per instance-month | |||
8 CPU cores and 16 GB of memory | 166.6253 | Per instance-month | |||
8 CPU cores and 32 GB of memory | 214.5281 | Per instance-month | |||
8 CPU cores and 64 GB of memory | 264.0594 | Per instance-month | |||
12 CPU cores and 24 GB of memory | 249.9379 | Per instance-month | |||
12 CPU cores and 48 GB of memory | 321.7921 | Per instance-month | |||
12 CPU cores and 96 GB of memory | 396.0892 | Per instance-month | |||
16 CPU cores and 32 GB of memory | 333.2505 | Per instance-month | |||
16 CPU cores and 64 GB of memory | 429.0562 | Per instance-month | |||
16 CPU cores and 128 GB of memory | 528.1189 | Per instance-month | |||
24 CPU cores and 48 GB of memory | 499.8758 | Per instance-month | |||
China (Hong Kong) | Instance rental | - | - | 51.4656 | Per instance-month |
QRS worker usage | Local SSD | 2 CPU cores and 8 GB of memory | 81.3618 | Per instance-month | |
4 CPU cores and 16 GB of memory | 162.7236 | Per instance-month | |||
8 CPU cores and 32 GB of memory | 325.4473 | Per instance-month | |||
Cloud disk | 2 CPU cores and 8 GB of memory | 93.3445 | Per instance-month | ||
4 CPU cores and 16 GB of memory | 186.6891 | Per instance-month | |||
8 CPU cores and 32 GB of memory | 373.3781 | Per instance-month | |||
Searcher worker usage | Local SSD | 2 CPU cores and 16 GB of memory | 112.7476 | Per instance-month | |
4 CPU cores and 32 GB of memory | 225.4952 | Per instance-month | |||
6 CPU cores and 48 GB of memory | 338.2428 | Per instance-month | |||
8 CPU cores and 64 GB of memory | 449.9416 | Per instance-month | |||
10 CPU cores and 80 GB of memory | 563.7381 | Per instance-month | |||
12 CPU cores and 96 GB of memory | 676.4857 | Per instance-month | |||
14 CPU cores and 112 GB of memory | 789.2333 | Per instance-month | |||
16 CPU cores and 128 GB of memory | 899.8833 | Per instance-month | |||
Cloud disk | 2 CPU cores and 16 GB of memory | 118.5161 | Per instance-month | ||
4 CPU cores and 16 GB of memory | 186.6891 | Per instance-month | |||
4 CPU cores and 32 GB of memory | 237.0322 | Per instance-month | |||
8 CPU cores and 16 GB of memory | 281.0824 | Per instance-month | |||
8 CPU cores and 32 GB of memory | 373.3781 | Per instance-month | |||
8 CPU cores and 64 GB of memory | 474.0644 | Per instance-month | |||
12 CPU cores and 24 GB of memory | 421.6236 | Per instance-month | |||
12 CPU cores and 48 GB of memory | 560.0672 | Per instance-month | |||
12 CPU cores and 96 GB of memory | 711.0966 | Per instance-month | |||
16 CPU cores and 32 GB of memory | 562.1648 | Per instance-month | |||
16 CPU cores and 64 GB of memory | 746.7563 | Per instance-month | |||
16 CPU cores and 128 GB of memory | 948.1288 | Per instance-month | |||
24 CPU cores and 48 GB of memory | 843.2473 | Per instance-month |
Searcher worker storage fee
Pay-as-you-go
Region | Billable item | Searcher worker family | Searcher workers specifications | Free storage space (GB) | 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
In OpenSearch Vector Search Edition, you are charged for index storage based on the size of the indexes.
If the total size of indexes in an instance is smaller than 100 GB, the index storage is free of charge. If the total size of indexes is greater than 100 GB, you are charged for the excess index size based on the unit price of index storage.
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
OpenSearch Vector Search Edition charges you for data update based on the number of resources that you use.
OpenSearch provides you with a free quota for data update by data source or table in an instance. Each data source or table is provided a free quota of two resources, and each resource consists of 4 CPU cores and 8 GB of memory for data update. You can also apply to increase the quota, and you are charged for the resources that exceed the quota.
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 |