Updated on 1/06/2017
For different usage scenarios, Amazon Web Services offers different classes of storage. This also allows to reduce the storage costs for data which are rarely used, and don’t require instant access. All the classes have a high level of reliability and support SSL data encryption during transmission, but differ by their cost. This article will tell you where and which class is recommended for use, and what is the difference between them.
Amazon S3 Standard
Amazon S3 Standard is designed for high-usage, “hot” data storage and has the following features:
- High capacity and low latency;
- Reliability at 99,999999999% level (of 100 billion objects per year, you are at risk of losing only one of them).
- Availability at 99,99% level (of 10 thousand hours, within one hour the data will be unavailable) .
- Use of the storage is covered by Amazon S3 Service Level Agreement, which considers a compensation, if the level of uninterrupted operation is lower than it was declared.
Standard storage is suitable for the following usage scenarios:
- Website hosting
- Cloud applications and web-services
- Mobile games and apps
- Big data
- Content distribution
Amazon S3 RRS
Amazon S3 Reduced Redundancy Storage (RRS) allows to reduce the storage costs for replicable, uncritical data. This can be achieved through reduction of redundancy and decreasing a replicas number. The main difference between RRS and S3 Standard is reliability at 99,99%. It means that, on average, if you store 10,000 objects, within a year, you are at risk of losing only one of them.
This solution is perfect for uncritical or easily replicable data of different apps: dynamic websites, business-applications, etc. For example, you can use Amazon S3 Standard for keeping images, and S3 RRS — for their previews.
Amazon S3 Standard Infrequent Access
Amazon S3 IA is designed for the data which require less frequent access, but with longer storage time than in case of Standard.
Low delays combined with high capacity and reliability 99,999999999% insure safety of object for a long period of time. Amazon S3 IA differs from Standard in the following way:
- Availability at 99.9% level within a year (e.g., probability of request error is a little higher than in standard storage)
- You are charged for data retrieval
Minimum storage period is 30 days, and minimum size of the object is 128 KB. The storage is recommended for long storage of files, disaster recovery data, backup, outdated sync data. As a rule, they require access relatively rarely, but, if necessary must be accessed quickly. In Cloudberry Backup, you can use S3 Standard IA class as a standard destination for your backups.
Amazon Glacier is a perfect solution for long storage and archiving of data which don’t require instant access. The service allows to store large or small volumes of data at low cost. At the same time, the retrieval process may take several hours. Amazon Glacier differs from S3 Standard in the following way:
- Extremely low cost.
- Uninterrupted operation is not guaranteed by Amazon S3 Service Level Agreement.
- Minimum period of storage is 90 days.
There is a charge for data retrieval of more than than 10 GB free tier per month. Access to data is limited depending on the chosen retrieval options (expedite retrieval - 1-5 minutes, standard - 3-5 hours, bulk - 5-12 hours) The service is optimized for the data, for which the access is rarely required, with admissible retrieval time of several hours.
Typical example of use is storage of data archives:
- Media resources archives (news bulletins)
- Archives of organizations working in health area (patients information)
- Data obtained during scientific researches
- Backup copies of databases with long storage
- Replacement of analog media
You can save objects directly in Glacier or set a Lifecycle Policy on your S3 bucket to automatically archive data.
All Amazon S3 classes are supported by life cycle policy. It means that you can optimize the storage costs for the objects by setting the rules of their automatic transference to cheaper storage. It is also possible to set up the life cycle termination policy so that the files were automatically removed after a certain period.
For example, you can save a data in Amazon S3 Standard, in a certain time transfer them to Standard IA storage, and then- to Glacier. Sometime later they can be removed or placed to archive storage.
CloudBerry Backup supports work with all the classes and features of Amazon S3, including S3 Standard IA. We suggest you trying the program during a 15-day trial period, so you could benefit from combined features of Amazon S3 and CloudBerry Backup.
We also prepared a small comparison of storage class features for AWS:
|S3 Standard||S3 RRS||S3 Standard IA||Glacier|
|Redundancy||99,999999999 %||99,99 %||99,999999999 %||99,999999999 %|
|Availability||99,99 %||99,99 %||99,99 %||N/A|
|Minimum period of storage||Unlimited||Unlimited||30 days||90 days|
|Minimum size of object||Unlimited||Unlimited||128KB (for less you are charged as for 128KB)||Unlimited|
|Access to the object||Milliseconds||Milliseconds||Milliseconds||1 minute - 12 hours, depending on the retrieval options|
|Charge for data retrieval||None||None||Per GB of the data retrieved||10 GB per month free, then per GB of the data retrieved|
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