Glacier storage service is meant for storing archival data. It is best suited for data that is not frequently accessed.
It is priced very low when compared to S3. Accessing the object in glacier is very slow - for example, the checkout job can take several hours for data to be available.
Integrates will with S3 life cycle.
With glacier you dont have to worry about the server provisioning, you can store as much data as you want - as usual.
A single archive can be as large as 40 TB.
You can configure glacier to be like "Write once read many" to prevent losing data by mistake.
You can also set the data retrieval policies such as maximum retrieval rate. you can also see which users have accessed the vault over the last one month, or identify who deleted the data.
You can use AWS console or use the AWS SDK APIs to store data into Glacier.
you can also setup policies in S3 so that every month data is archived back from S3 to Glacier. AWS Import / export product can be used to accelerate moving large amount of data.
Pricing is based on how much data you are planning to store and how much time you are planing to retrieve. Data transfer costs and PUT requests also matters but its low.
For example, if you want to store 100GB of data with no retrieval, it might approximately cost 7 cents per month.
You can use the AWS calculator to calculate how much it is going to cost you based on your data requirements.
It is priced very low when compared to S3. Accessing the object in glacier is very slow - for example, the checkout job can take several hours for data to be available.
Integrates will with S3 life cycle.
With glacier you dont have to worry about the server provisioning, you can store as much data as you want - as usual.
A single archive can be as large as 40 TB.
You can configure glacier to be like "Write once read many" to prevent losing data by mistake.
You can also set the data retrieval policies such as maximum retrieval rate. you can also see which users have accessed the vault over the last one month, or identify who deleted the data.
You can use AWS console or use the AWS SDK APIs to store data into Glacier.
you can also setup policies in S3 so that every month data is archived back from S3 to Glacier. AWS Import / export product can be used to accelerate moving large amount of data.
Pricing is based on how much data you are planning to store and how much time you are planing to retrieve. Data transfer costs and PUT requests also matters but its low.
For example, if you want to store 100GB of data with no retrieval, it might approximately cost 7 cents per month.
You can use the AWS calculator to calculate how much it is going to cost you based on your data requirements.
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