Free Tier
Redshift Free Tier is available in the Amazon Web Services China (Ningxia) Region operated by NWCD and Amazon Web Services China (Beijing) Region operated by Sinnet. The Free Tier includes 750 dc2.large hours per month for 2 months.
*Only applicable to dc2.large node types (2vCPU, 15 GiB memory and 160 GiB storage)
Amazon Redshift On-Demand pricing has no upfront costs - you simply pay an hourly rate based on the type and number of nodes in your cluster. You can save up to 75% over On-Demand rates by committing to use Amazon Redshift for a 1 or 3 year term. Reserved Instance pricing is specific to the node type purchased, and remains in effect until the reservation term ends. Choose what is right for your business needs, with the ability to grow storage without over-provisioning compute, and the flexibility to grow compute capacity without increasing storage costs.
What to expect
First, choose the best cluster configuration for your needs by learning more about the node types in the following section. You can quickly scale your cluster, pause and resume the cluster, and switch between node types with a single API call or a few clicks in the Amazon Redshift console. You’ll see on-demand pricing before making your selection, and later you may choose to purchase reserved nodes for significant discounts.
Once you make your selection, you may wish to use elastic resize to easily adjust the amount of provisioned compute capacity within minutes for steady-state processing. With resize scheduler, you can add and remove nodes on a daily or weekly basis to optimize cost and get the best performance.
Amazon Redshift node types
Amazon Redshift offers different node types to accommodate your workloads, and we recommend choosing RG. Amazon Redshift Serverless automatically provisions the appropriate resources required to service the workload so you don’t need to choose a node type.
RG and RA3 nodes with managed storage allow you to optimize your data warehouse by scaling and paying for compute and managed storage independently. With both RG and RA3, you choose the number of nodes based on your performance requirements and only pay for the managed storage that you use. You should size your RG or RA3 cluster based on the amount of data you process daily.
Redshift managed storage uses large, high-performance SSDs in each node for fast local storage and Amazon S3 for longer-term durable storage. If the data in a node grows beyond the size of the large local SSDs, Redshift managed storage automatically offloads that data to Amazon S3. You pay the same low rate for Redshift managed storage regardless of whether the data sits in high-performance SSDs or S3. For workloads that require ever-growing storage, managed storage lets you automatically scale your data warehouse storage capacity without adding and paying for additional nodes.
On-Demand Pricing
Pay for capacity by the hour with no commitments or upfront fees. This frees you from planning and purchasing data warehouse capacity ahead of your needs, enabling you to spin up and tear down environments for development or test purposes.
China (Ningxia) Region
|
|
vCPU |
Memory (GiB) |
Price |
|
RG with Redshift Managed Storage |
|
|
|
|
rg.large |
2 |
16 |
¥ 2.4325 |
|
rg.xlarge |
4 |
32 |
¥ 4.865 |
|
rg.4xlarge |
16 |
128 |
¥ 19.30507 |
|
rg.12xlarge |
48 |
384 |
¥ 58.4192 |
|
RA3 with Redshift Managed Storage |
|
|
|
|
ra3.large |
2 |
16 |
¥3.475 |
|
ra3.xlplus |
4 |
32 |
¥ 6.950 |
|
ra3.4xlarge |
12 |
96 |
¥ 20.684 |
|
ra3.16xlarge |
48 |
384 |
¥ 83.456 |
|
Dense Compute |
|
|
|
|
dc2.large |
2 |
15 |
¥ 1.900 |
|
dc2.8xlarge |
32 |
244 |
¥ 30.400 |
Except as otherwise noted, our prices are exclusive of China VAT.
China (Beijing) Region
|
|
vCPU |
Memory (GiB) |
Price |
|
RG with Redshift Managed Storage |
|
|
|
|
rg.large |
2 |
16 |
¥ 2.4325 |
|
rg.xlarge |
4 |
32 |
¥ 4.865 |
|
rg.4xlarge |
16 |
128 |
¥ 19.30507 |
|
rg.12xlarge |
48 |
384 |
¥ 58.4192 |
|
RA3 with Redshift Managed Storage |
|
|
|
|
ra3.large |
2 |
16 |
¥3.475 |
|
ra3.xlplus |
4 |
32 |
¥ 6.950 |
|
ra3.4xlarge |
12 |
96 |
¥ 20.864 |
|
ra3.16xlarge |
48 |
384 |
¥ 83.456 |
|
Dense Compute |
|
|
|
|
dc2.large |
2 |
15 |
¥ 2.145 |
|
dc2.8xlarge |
32 |
244 |
¥ 41.60 |
Except as otherwise noted, our prices are exclusive of China VAT.
Amazon Redshift Serverless
You can start using Amazon Redshift Serverless for as low as CNY 21.81 per hour and pay only for the compute capacity your data warehouse consumes when it is active. Your data warehouse capacity automatically scales up or down to meet your analytics workload demands and shuts down during periods of inactivity to save administration time and costs. Amazon Redshift measures data warehouse capacity in Redshift Processing Units (RPUs). You pay for the workloads you run in RPU-hours on a per-second basis (with a 60-second minimum charge), including queries that access data in open file formats in Amazon S3. There is no charge for data warehouse start up time. Automatic scaling and comprehensive security capabilities are included. You do not need to pay for concurrency scaling and Redshift Spectrum separately because they are both included with Amazon Redshift Serverless. You can optionally use Base, Max RPU-Hours and MaxRPU (max capacity) settings to control data warehouse performance and costs.
- Base – This setting allows you to specify the base data warehouse capacity Amazon Redshift uses to serve queries. Base capacity is specified in RPUs. Setting higher base compute capacity can improve the query performance especially for data processing and ETL (extract, transform, load) jobs that process large amounts of data and perform transformations and enrichment. You can adjust the Base from 8 RPUs to 512 RPUs in units of 8 (8, 16, 24, 32, 40, 48, and so on, up to 512) from the Amazon Redshift management console or by invoking an Amazon Redshift API.
- Max – This setting allows you to specify usage limits, and define actions that Amazon Redshift automatically takes if those limits are reached to maintain your budget with predictability. Max is specified in RPU-hours and associated with a daily, weekly, or monthly duration. Setting higher max compute capacity can improve the overall throughput of the system, which is especially beneficial for workloads that need to handle high concurrency while maintaining consistently high performance. You can adjust the Max from the Amazon Redshift management console or by invoking an Amazon Redshift API.
- MaxRPU (Max Capacity) - This setting establishes the high count of RPUs that Amazon Redshift Serverless can accommodate for scaling purposes. When automatic compute scaling is required, having a higher value for MaxRPU can enhance query throughput. When the MaxRPU limit is reached, the workgroup compute doesn't scale up resources any further.
Now with Amazon Redshift Serverless Reservations you can commit to a specific number of Redshift Processing Units (RPUs) for a one-year term, and choose between two payment options: no-upfront option that provides a 20% discount off on-demand rates, or all-upfront option that provides 24% discount.
Serverless Reservations are managed at the Amazon Web Services payer account level and can be shared between multiple Amazon Web Services accounts. Serverless Reservations are billed hourly and metered per second, offering a consistent billing model while maintaining flexibility offered by Amazon Redshift Serverless. Any usage exceeding the specified RPU level is charged at standard on-demand rates.
Primary storage capacity is billed as Redshift Managed Storage (RMS) and storage used for user snapshots is billed at the standard backup billing rates outlined on this page. Storage is billed at same rates as with Amazon Redshift provisioned clusters. With Amazon Redshift Serverless you can restore your data warehouse to specific points in the last 24 hours at a 30 min granularity free of charge. Data transfer costs and ML costs apply separately, the same as provisioned clusters. Snapshot replication and data sharing across Amazon Web Services Regions are billed at the transfer rates outlined on this page.
China(Beijing) Region
| Capacity | Price |
| Redshift Processing Unit | ¥2.692 per RPU hour |
China(Ningxia) Region
| Capacity | Price |
| Redshift Processing Unit | ¥2.093 per RPU hour |
Redshift managed storage pricing
You pay for data stored in managed storage at a fixed GB-month rate for your region. Managed storage comes exclusively with RA3 node types and you pay the same low rate for Redshift managed storage regardless of data size. Usage of managed storage is calculated hourly based on the total data present in the managed storage (see example below converting usage in GB-Hours to charges in GB-Month). You can monitor the amount of data in your RA3 cluster via Amazon CloudWatch or the Amazon Web Services Management Console. You do not pay for any data transfer charges between RA3 nodes and managed storage. Managed storage charges do not include back up storage charges due to automated and manual snapshots (see Backup Storage). Once the cluster is terminated, you continue to be charged for the retention of your manual backups.Region:
China(Beijing & Ningxia)
| Storage | Pricing |
| Storage/month | ¥0.154 per GB |
Pricing example for managed storage pricing
Assume you store 100GB of data in managed storage, with RA3 node types, for 15 days in April, and 100TB of data for the final 15 days in April.
Let’s first calculate the usage in GB-Hours for the above scenario. For the first 15 days, you will have the following usage in GB-Hours: 100GB x 15 days x ( 24 hours/day) = 36,000 GB-Hours.
For the last 15 days, you will have the following usage in GB-Hours: 100TB X 1024 GB/TB X 15 days X ( 24 hours / day) = 36,864,000 GB-Hours.
At the end of April, all usage in GB-Hours adds to: 36,000 GB-Hours + 36,864,000 GB-Hours = 36,900,000 GB-Hours.
Let's convert this to GB-Months: 36,900,000 GB-Hours / 720 hours per month in April = 51,250 GB-Month.
If this data was stored in the China (Beijing) Region, managed storage will be charged at CNY 0.154/GB-Month. Monthly storage charges for 51,250 GB-Month will be: 51,250 GB-Month x CNY 0.154 per GB-month = CNY 7892.5.
Total Managed Storage Fee for April = CNY 7892.5.
Reserved-Instance Pricing
Reserved Instances (a.k.a. Reserved Nodes) are appropriate for steady-state production workloads, and offer significant discounts over On-Demand pricing. Reserved Instance pricing is specific to the node type purchased, and remains in effect until the reservation term ends. Customers typically purchase Reserved Instances after running experiments and POCs to validate production configurations. To purchase these offerings visit the Reserved Nodes tab in our Console.
No Upfront – You pay nothing upfront, and you commit to pay monthly over the course of one year.
Partial Upfront – You pay a portion of the Reserved Instance upfront, and the remainder over a one- or three-year term.
All Upfront – You pay for the entire Reserved Instance term (one or three years) with one upfront payment.
Reserved Instances are a billing concept and are not used to create data warehouse clusters. When you make a purchase you will be charged the associated upfront and hourly fees even if you are not currently running a cluster.
China (Ningxia) Region
-
rg.large
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥0
¥ 1.703
30%
Partial Upfront
¥ 7,138.6
¥ 0.815
33%
All Upfront
¥ 14,063.7
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 1.070
56%
Partial Upfront
¥ 12,785.5
¥ 0.487
60%
All Upfront
¥ 23,972.2
¥ 0
63%
-
rg.xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 3.405
30%
Partial Upfront
¥ 14,284.9
¥ 1.631
33%
All Upfront
¥ 28,138.6
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 2.119
56%
Partial Upfront
¥ 25,254.6
¥ 0.961
60%
All Upfront
¥ 47,917.8
¥ 0
63%
-
rg.4xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 13.619
29%
Partial Upfront
¥ 57,036.0
¥ 6.511
33%
All Upfront
¥ 112,502.1
¥ 0
33%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 8.482
56%
Partial Upfront
¥ 101,251.7
¥ 3.853
60%
All Upfront
¥ 191,514.4
¥ 0
62%
-
rg.12xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 40.902
30%
Partial Upfront
¥ 171,499.3
¥ 19.578
33%
All Upfront
¥ 337,897.7
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 25.402
57%
Partial Upfront
¥ 303,165.8
¥ 11.536
61%
All Upfront
¥ 575,721.3
¥ 0
63%
-
ra3.large
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 2.433
30%
Partial Upfront
¥ 10,198
¥ 1.164
33%
All Upfront
¥ 20,091
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 1.529
56%
Partial Upfront
¥ 18,265
¥ 0.695
60%
All Upfront
¥ 34,246
¥ 0
63%
-
ra3.xlplus
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 4.864
30%
Partial Upfront
¥ 20,407
¥ 2.330
33%
All Upfront
¥ 40,198
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 3.027
56%
Partial Upfront
¥ 36,078
¥ 1.373
60%
All Upfront
¥ 68,454
¥ 0
63%
-
ra3.4xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 14.592
29%
Partial Upfront
¥ 61,110
¥ 6.976
33%
All Upfront
¥ 120,538
¥ 0
33%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 9.088
56%
Partial Upfront
¥ 108,484
¥ 4.128
60%
All Upfront
¥205,194
¥ 0
62%
-
ra3.16xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 58.432
30%
Partial Upfront
¥ 244,999
¥ 27.968
33%
All Upfront
¥ 482,711
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 36.288
57%
Partial Upfront
¥ 433,094
¥ 16.480
61%
All Upfront
¥ 822,459
¥ 0
63%
China (Beijing) Region
-
rg.large
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 1.703
30%
Partial Upfront
¥ 7,138.6
¥ 0.815
33%
All Upfront
¥ 14,063.7
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 1.070
56%
Partial Upfront
¥ 12,785.5
¥ 0.487
60%
All Upfront
¥ 23,972.2
¥ 0
63%
-
rg.xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 3.405
30%
Partial Upfront
¥ 14,284.9
¥ 1.631
33%
All Upfront
¥ 28,138.6
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 2.119
56%
Partial Upfront
¥ 25,254.6
¥ 0.961
60%
All Upfront
¥ 47,917.8
¥ 0
63%
-
rg.4xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 13.619
29%
Partial Upfront
¥ 57,036.0
¥ 6.511
33%
All Upfront
¥ 112,502.1
¥ 0
33%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 8.482
56%
Partial Upfront
¥ 101,251.7
¥ 3.853
60%
All Upfront
¥ 191,514.4
¥ 0
62%
-
rg.12xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 40.902
30%
Partial Upfront
¥ 171,499.3
¥ 19.578
33%
All Upfront
¥ 337,897.7
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 25.402
57%
Partial Upfront
¥ 303,165.8
¥ 11.536
61%
All Upfront
¥ 575,721.3
¥ 0
63%
-
ra3.large
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 2.433
30%
Partial Upfront
¥10,198
¥ 1.164
33%
All Upfront
¥20,091
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 1.529
56%
Partial Upfront
¥ 18,265
¥ 0.695
60%
All Upfront
¥ 34,246
¥ 0
63%
-
ra3.xlplus
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥4.864
30%
Partial Upfront
¥20,407
¥2.330
33%
All Upfront
¥40,198
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 3.027
56%
Partial Upfront
¥3 6,078
¥ 1.373
60%
All Upfront
¥ 68,454
¥ 0
63%
-
ra3.4xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 14.592
29%
Partial Upfront
¥ 61,110
¥ 6.976
33%
All Upfront
¥ 120,538
¥ 0
33%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 9.088
56%
Partial Upfront
¥ 108,484
¥ 4.128
60%
All Upfront
¥ 205,194
¥ 0
62%
-
ra3.16xlarge
1 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥ 58.432
30%
Partial Upfront
¥ 244,999
¥ 27.968
33%
All Upfront
¥ 482,711
¥ 0
34%
3 Year Term
Payment Option
Upfront (CNY)
Hourly (CNY)
Savings vs On-Demand
No Upfront
¥ 0
¥36.288
57%
Partial Upfront
¥433,094
¥16.480
61%
All Upfront
¥822,459
¥ 0
63%
Calculating your effective on-demand price per TB per year
For on-demand, the effective price per TB per year is the hourly price for the instance, times the number of hours in a year, divided by the number of TB per instance. For RG and RA3, data stored in managed storage is billed separately based on actual data stored in the nodes; effective price per TB per year is calculated for only the compute node costs.
Redshift Spectrum Pricing
Amazon Redshift Spectrum allows you to directly run SQL queries against exabytes of data in Amazon S3. You are charged for the number of bytes scanned by Redshift Spectrum, rounded up to the next megabyte, with a 10MB minimum per query. There are no charges for Data Definition Language (DDL) statements like CREATE/ALTER/DROP TABLE, statements for managing partitions, and failed queries.
You can improve query performance and reduce costs by storing data in a compressed, partitioned, columnar data format. If you compress data using one of Redshift Spectrum’s supported formats, your costs will go down as there is less data scanned. Similarly, if you store data in a columnar format, such as Parquet or ORC, your charges will also go down as Redshift Spectrum scans only the columns needed by the query.
You are billed at the rate of CNY 35.74237 per terabyte of data scanned.
For example, if you scan 10 gigabytes of data, you will be charged CNY 0.35742. If you scan 1 terabyte of data, you will be charged CNY 35.74237.
Additional Costs
You are charged Amazon Redshift instance rates for the cluster used and standard Amazon S3 rates for storage and requests.
If you use the Amazon Glue Data Catalog with Amazon Redshift Spectrum, you are charged standard Amazon Glue Data Catalog rates. For details, refer to Amazon Glue pricing.
When using Amazon Redshift Spectrum to query Amazon Key Management Service (KMS) encrypted data in Amazon S3, you are charged standard Amazon KMS rates. For details, refer to Amazon KMS pricing.
Redshift Spectrum Pricing Examples
Consider a table with 100 equally sized columns stored in Amazon S3 as an uncompressed text file with a total size of 4 terabytes. Running a query to get data from a single column of the table requires Redshift Spectrum to scan the entire file, because text formats cannot be split. This query would scan 4 terabytes and cost CNY 142.96948. (CNY 35.74237/TB * 4TB = CNY 142.96948)
If you compress your file using GZIP, you may see 4:1 compression gains. In this case, you would have a compressed file size of 1 terabyte. Redshift Spectrum has to scan the entire file, but since it is one-fourth the size, you pay one-fourth the cost, or CNY 35.74237. (CNY 35.74237/TB * 1TB = CNY 35.74237)
If you compress your file and convert it to a columnar format like Apache Parquet, you may see 4:1 compression gains and have a compressed file size of 1 terabyte. Using the same query as above, Redshift Spectrum needs to scan only one column in the Parquet file. The cost of this query would be CNY 0.35742. (CNY 35.74237/TB * 1TB file size * 1/100 columns, or a total of 10 gigabytes scanned = CNY 0.35742).
Concurrency Scaling pricing
Amazon Redshift automatically adds transient capacity to provide consistently fast performance, even with thousands of concurrent users and queries. There are no resources to manage, no upfront costs, and you are not charged for the startup or shutdown time of the transient clusters. You can accumulate one hour of Concurrency Scaling cluster credits every 24 hours while your main cluster is running. You are charged the per-second on-demand rate for a Concurrency Scaling cluster used in excess of the free credits—only when it's serving your queries—with a one-minute minimum charge each time a Concurrency Scaling cluster is activated. The per-second on-demand rate is based on the type and number of nodes in your Amazon Redshift cluster.
Amazon Redshift Serverless automatically scales resources up and down as needed to meet workload needs by default and there are no separate charges for Concurrency Scaling.
China (Ningxia) Region
|
RG |
Price per second |
|
rg.large |
¥ 0.0009 |
|
rg.xlarge |
¥ 0.0018 |
|
rg.4xlarge |
¥ 0.00719 |
|
rg.12xlarge |
¥ 0.02156 |
|
RA3 |
Price per second |
|
ra3.large |
¥ 0.00129 |
|
ra3.xlplus |
¥ 0.002 |
|
ra3.4xlarge |
¥ 0.00599 |
|
ra3.16xlarge |
¥ 0.02396 |
China (Beijing) Region
|
RG |
Price per second |
|
rg.large |
¥ 0.0009 |
|
rg.xlarge |
¥ 0.0018 |
|
rg.4xlarge |
¥ 0.00719 |
|
rg.12xlarge |
¥ 0.02156 |
|
RA3 |
Price per second |
|
ra3.large |
¥ 0.00129 |
|
ra3.xlplus |
¥ 0.00257 |
|
ra3.4xlarge |
¥ 0.0077 |
|
ra3.16xlarge |
¥ 0.0308 |
Concurrency Scaling credits
Redshift clusters earn up to one hour of free Concurrency Scaling credits per day. Credits are earned on an hourly basis for each active cluster in your Amazon Web Services account, and can be consumed by the same cluster only after credits are earned. You can accumulate up to 30 hours of free Concurrency Scaling credits for each active cluster. Credits do not expire as long as your cluster is not terminated.
Backup storage
Backup storage is the storage associated with the snapshots taken for your data warehouse. Increasing your backup retention period or taking additional snapshots increases the backup storage consumed by your data warehouse. Amazon Redshift charges for manual snapshots you take using the console, application programming interface (API), or command-line interface (CLI). Redshift Automated snapshots, which are by default and created from Amazon Redshift's snapshot scheduling feature, are offered at no charge and can be retained for a maximum of 35 days. You are not charged for Amazon Redshift Serverless recovery points that are less than 24 hours old. If you choose to keep recovery points beyond 24 hours they will incur charges as part of RMS. For Amazon Redshift Serverless and provisioned RG instances on Amazon Graviton, manual snapshots are billed based on the total unique data blocks across all active snapshots at the snapshot rate for your region. Shared blocks across multiple snapshots are counted only once. This means you pay only for the actual incremental data retained for your snapshots, not the full size of each snapshot. For provisioned RA3 instances, data stored on RA3 clusters is part of RMS and is billed at RMS rates, but manual snapshots taken for RA3 clusters are billed as backup storage at standard Amazon S3 rates.
For example, if your RA3 cluster has 10 TB of data and 30 TB of manual snapshots, you would be billed for 10 TB of RMS and 30 TB of backup storage. With dense compute (DC) and dense storage (DS) clusters, storage is included on the cluster and is not billed separately, but backups are stored externally in Amazon S3. Backup storage beyond the provisioned storage size on DC and DS clusters is billed as backup storage at standard S3 rates. Snapshots are billed until they expire or are deleted, including when the cluster is paused or deleted.
Data transfer
There is no charge for data transferred between Amazon Redshift and Amazon S3 within the same Amazon Web Services Region for backup, restore, load, and unload operations. For all other data transfers into and out of Amazon Redshift, you will be billed at standard Amazon Web Services data transfer rates. In particular, if you run your Amazon Redshift cluster in Amazon Virtual Private Cloud (VPC), you will see standard data transfer charges for data transfers over JDBC/ODBC to your Amazon Redshift cluster endpoint. In addition, when you use Enhanced VPC Routing and unload data to Amazon S3 in a different region, you will incur standard data transfer charges. For more information about Amazon Web Services data transfer rates, see the Amazon EC2 pricing page.
Amazon Redshift charges for data sharing across regions as well as for snapshot copy across regions. Data sharing charges are billed in the consumer region where the data is being accessed. Snapshot copy across regions is billed in the source region where the cluster that created the snapshot exists. Data transfer charges apply to all snapshots (both automated and manual) and recovery points. All data transfers charges for snapshot copy are for incremental data only.
Data sharing data transfer IN To or Snapshot Copy Data Transfer OUT From
|
Feature |
Price |
|
Data Sharing Data Transfer In To |
¥ 0.128/GB |
|
Snapshot Copy Data Transfer Out From |
¥ 0.128/GB |