Amazon S3 pricing

Amazon S3 Tables deliver S3 storage that is specifically optimized for analytics workloads. With S3 Tables, you pay for storage, requests, and an object monitoring fee per object stored in table buckets. Table buckets are designed to perform continual table maintenance to automatically optimize query efficiency and storage cost over time, even as your data lake scales and evolves.

By default, compaction periodically combines smaller objects into fewer, larger objects to improve query performance. When compaction is enabled, you are charged for the number of objects and the bytes processed during compaction.

You use a daily ETL job to pre-process data from different structured and unstructured sources and update an Apache Iceberg table in your table bucket once a day. This update creates 1,000 new data files with an average object size of 5 MB and 3 metadata files with an average object size of 10 KB. Your table’s users frequently perform queries on your dataset and generate 500,000 GET requests per month. To optimize query performance, you enable automatic compaction on S3 Tables. At the end of the month, your table is 1 TB in size with an average object size of 100 MB. This example uses the US-West (Oregon) AWS Region.

Your charges would be calculated as follows: 

Amazon S3 Tables storage charge ($/GB)
S3 Tables storage price is $0.0265 per GB for the first 50 TB per month
Since you are storing 1 TB of data in your table, your charge would be:
S3 Tables storage charge: 1 TB (1,024 GB) * $0.0265/GB = $27.14

Amazon S3 Tables PUT request charge ($/1,000 requests)
S3 Tables PUT request price is $0.005 per 1,000 requests
Since you are adding 1,000 data files and 3 metadata files per day to you table, your charge would be:
S3 Tables PUT request charge: 1,003 PUT requests/day * 30 days = 30,090 PUT requests/month * $0.005/1,000 requests = $0.15

Amazon S3 Tables GET request charge ($/1,000 requests)
S3 Tables GET request price is $0.0004 per 1,000 requests
Since you are performing 500,000 GET requests per month, your charge would be:
S3 Tables GET request charge: 500,000 GET requests/month * $0.0004/1,000 requests = $0.20 

Amazon S3 Tables object monitoring charge ($/1,000 objects)
S3 Tables object monitoring price is $0.025 per 1,000 objects
Since you have a 1 TB table with an average object size of 100 MB, your charge would be:
S3 Tables object monitoring charge: 1 TB (1,048,576 MB)/ 100 MB = 10,486 objects * $0.025/1,000 objects = $0.26

Amazon S3 Tables compaction charge ($/1,000 objects and $/GB processed)
S3 Tables compaction price is $0.004 per 1,000 objects processed and $0.05 per GB processed
Since S3 Tables will process 30,000 new 5 MB data files added to your table, your charge would be:
S3 Tables compaction charge: 30,000 data files * $0.004/1,000 objects = $0.12 and 30,000 data files * 5 MB = 150,000 MB (146.48 GB) * $0.05 per GB processed = $7.32

Total charges
S3 Tables storage charge = $27.14
S3 Tables PUT request charge = $0.15
S3 Tables GET request charge = $0.20
S3 Tables object monitoring charge = $0.26
S3 Tables compaction - objects processed charge = $0.12
S3 Tables compaction - data processed charge = $7.32
S3 Tables total = $35.19

You pay for all bandwidth into and out of Amazon S3, except for the following:

• Data transferred out to the internet for the first 100GB per month, aggregated across all AWS Services and Regions (except China and GovCloud)
  
• Data transferred in from the internet.
• Data transferred between S3 buckets in the same AWS Region. 
• Data transferred from an Amazon S3 bucket to any AWS service(s) within the same AWS Region as the S3 bucket (including to a different account in the same AWS Region).
• Data transferred out to Amazon CloudFront (CloudFront).
• EU customers may request reduced data transfer rates for eligible use cases under the European Data Act. Please contact AWS Customer Support for more information.

The pricing below is based on data transferred "in" and "out" of Amazon S3 (over the public internet)†††. Learn more about AWS Direct Connect pricing.

Amazon S3 Multi-Region Access Points accelerate performance by up to 60% when accessing data sets that are replicated across multiple AWS Regions. Based on AWS Global Accelerator, S3 Multi-Region Access Points consider factors like network congestion and the location of the requesting application to dynamically route your requests over the AWS network to the lowest latency copy of your data. This automatic routing allows you to take advantage of the global infrastructure of AWS while maintaining a simple application architecture.

When you use an S3 Multi-Region Access Point to route requests within AWS, you pay a data routing cost for each gigabyte (GB) processed, as well as standard charges for S3 requests, storage, data transfer, and replication.

If your application runs outside of AWS and accesses S3 over the internet, S3 Multi-Region Access Points increase performance by automatically routing your requests through an AWS edge location, over the global private AWS network, to the closest copy of your data based on access latency. When you accelerate requests made over the internet, you pay the data routing cost outlined above and an internet acceleration cost.

S3 Multi-Region Access Points internet acceleration pricing varies based on whether the source client is in the same or in a different location as the destination AWS Region, and is in addition to standard S3 data transfer pricing. 

For S3 Multi-Region Access Points availability in AWS Regions, please visit the user guide.

S3 Transfer Acceleration accelerates internet transfers between the client and a single S3 bucket. Pricing is based on the AWS edge location used to accelerate your transfer. S3 Transfer Acceleration pricing is in addition to Data Transfer pricing. 

Each time you use S3 Transfer Acceleration to upload an object, we will check whether the service is likely to be faster than a regular Amazon S3 transfer. If we determine that it is not likely to be faster than a regular Amazon S3 transfer of the same object to the same destination AWS Region, we will not charge for that use of S3 Transfer Acceleration for that transfer, and may bypass the S3 Transfer Acceleration system for that upload.

Check your performance with the Amazon S3 Transfer Acceleration speed comparison tool.

For Data Transfers exceeding 500 TB/Month, please contact us.

Storage and bandwidth size includes all file overhead.

Rate tiers take into account your aggregate usage for Data Transfer Out to the Internet across all AWS services.

††† Data Transfer Out may be different from the data received by your application in case the connection is prematurely terminated by you, for example, if you make a request for a 10 GB object and terminate the connection after receiving the first 2 GB of data. Amazon S3 attempts to stop the streaming of data, but it does not happen instantaneously. In this example, the Data Transfer Out may be 3 GB (1 GB more than 2 GB you received). As a result, you will be billed for 3 GB of Data Transfer Out.

Amazon S3 supports three different bucket types: general purpose buckets, directory buckets, and table buckets. S3 general purpose buckets are available in all AWS Regions. For S3 directory bucket Regional availability, visit the S3 User Guide, and for S3 table bucket Regional availability, visit the S3 User Guide.

Amazon S3 general purpose buckets are the original S3 bucket type, and a single general purpose bucket can contain objects stored across all storage classes except S3 Express One Zone.

Amazon S3 directory buckets only allow objects stored in the S3 Express One Zone storage class, which provides faster data processing within a single Availability Zone.

Amazon S3 table buckets are purpose-built for storing tabular data. They deliver up to 3x faster query performance and up to 10x higher transactions per second, making them specifically optimized for analytics workloads.

Amazon S3 Access Grants map identities in directories such as Active Directory, or AWS Identity and Access Management (IAM) Principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end-users based on their corporate identity. Additionally, S3 Access Grants log end-user identity, as well as the application used to access S3 data, in AWS CloudTrail. This helps to provide a detailed audit history down to the end-user identity for all access to the data in your S3 buckets.

You pay for the storage management features and analytics (Amazon S3 Metadata, S3 Inventory, S3 Storage Class Analysis, S3 Storage Lens, and S3 Object Tagging) that are enabled on your account’s buckets. S3 Storage management and analytics is priced per feature as detailed in the table below. For pricing on Amazon CloudWatch Metrics, visit the Amazon CloudWatch pricing page. For pricing on S3 Data Events in AWS CloudTrail, visit the AWS CloudTrail pricing page.

Amazon S3 Metadata (Preview) delivers queryable object metadata in near real-time to organize your data and accelerate data discovery. This helps you to curate, identify, and use your S3 data for business analytics, real-time inference applications, and more.

You upload 1,000,000 new images in an S3 general purpose bucket that has S3 Metadata configuration enabled, each with an average size of 5 MB. You want to determine the price for generating metadata against these 1,000,000 updates. This example uses the US West (PDX) Region.

Your charges would be calculated as follows:

S3 Metadata ($/million updates)
S3 Metadata price is $0.45 per million objects
Since you are providing 1,000,000 updates, your charges would be:
S3 Metadata Enhanced Metadata charge: 1,000,000 * $0.45/1,000,000 = $0.45

Total charges:
S3 Metadata charges: $0.45

Note that separate charges for table storage, maintenance, and requests will apply.

Except as otherwise noted, our prices are exclusive of applicable taxes and duties, including VAT and applicable sales tax. For customers with a Japanese billing address, use of AWS is subject to Japanese Consumption Tax. To learn more, visit our consumption tax FAQs »

Amazon S3 storage usage is calculated in binary gigabytes (GB), where 1 GB is 2³⁰ bytes. This unit of measurement is also known as a gibibyte (GiB), defined by the International Electrotechnical Commission (IEC). Similarly, 1 TB is 2⁴⁰ bytes, i.e. 1024 GBs.

For S3 pricing examples, go to the S3 billing FAQs or use the AWS Pricing Calculator.

While live replication like CRR and SRR automatically replicates newly uploaded objects as they are written to your bucket, S3 Batch Replication allows you to replicate existing objects. S3 Batch Replication is built using S3 Batch Operations to replicate objects as fully managed Batch Operations jobs. Similar to SRR and CRR, you pay the S3 charges for storage in the selected destination S3 storage classes, for the primary copy, for replication PUT requests, and for applicable infrequent access storage retrieval charges. When replicating across AWS Regions, you also pay for inter-Region Data Transfer OUT from S3 to each destination Region. If an object already exists in the destination bucket, we will check if the destination object is in sync with the source object. If the metadata is not in sync and needs to be replicated, you will incur the replication PUT request charge but not the inter-Region Data Transfer OUT charge. If the metadata is in sync, Batch Replication will do nothing and you incur no charge. For more details on replication pricing, read the pricing FAQs.

In addition to these charges, you also pay the S3 Batch Operations charges for Batch Replication jobs. See the following table for details.

Finally, when replicating existing objects, you need to indicate what objects to replicate. You can do this by providing a list of objects to S3 yourself, or use an AWS-generated manifest where you can specify filters such as object creation date and replication status. If you use the manifest, there is a charge based on the number of objects in the source bucket.