Amazon S3 Glacier and Amazon S3 are both popular storage services, but differ significantly in use cases. User reviews indicate Amazon S3 Glacier is favored for archival storage, while Amazon S3 is preferred for general-purpose storage.
Features: User reviews highlight Amazon S3 Glacier's extremely low cost for long-term data storage, strong security measures, and durability. Conversely, Amazon S3 is known for its high availability, scalability, and broader integration with AWS services. Amazon S3 Glacier is noted for cost-effectiveness for less frequently accessed data, while Amazon S3 offers more versatile features.
Room for Improvement: Users suggest Amazon S3 Glacier could improve retrieval times, flexibility in retrieval options, and access policies. For Amazon S3, users note room for advancement in cost efficiency as data storage scales, greater customization options, and streamlined user interface. Amazon S3 Glacier needs faster data retrieval options, while Amazon S3 must manage cost-effectiveness better as storage needs increase.
Ease of Deployment and Customer Service: Reviews indicate Amazon S3 Glacier is easy to deploy for archival purposes but requires careful planning for data retrieval. Customer service is seen as responsive and helpful. Amazon S3 is noted for smooth deployment processes and its comprehensive documentation. Users find Amazon S3's customer service equally reliable. Deployment ease is commended for both, but Amazon S3's comprehensive documentation provides an advantage.
Pricing and ROI: Amazon S3 Glacier receives positive feedback for its low setup cost and high ROI for long-term storage needs. Users find it cost-effective for archival data. Amazon S3's setup cost is higher, but its ROI is justified by its extensive feature set and operational efficiency. Amazon S3 Glacier offers significant cost savings for infrequent access, while Amazon S3 delivers higher ROI through its versatile capabilities.
Moving infrequently accessed data to cheaper classes like Glacier is beneficial for long-term storage at a lower cost.
If AWS improves support and cost management, there would be fewer reasons for users to consider other cloud platforms.
As it is Amazon S3 Glacier, it is used only for archival purposes, so it is comparatively okay to use it, and we can save money compared to the standard which is high.
I rate the technical support from Amazon for S3 a ten out of ten.
An engineer is assigned based on the severity of the issue.
The technical support for Amazon S3 is rated ten out of ten.
There is room for improvement in providing more skilled and comprehensive solutions.
They provide documentation and resolve issues.
If it is a business plan, then the support we have is really good.
Data placed in an S3 bucket is replicated across availability zones in a region, ensuring scalability and availability.
The level of scalability allows storage to automatically scale on demand, without the need for manual intervention.
Amazon S3's automatic scaling has benefited me, as I don't need to plan storage requirements.
Amazon S3 Glacier auto-scales according to the data.
Amazon S3 Glacier is infinitely scalable, with no issues on our end.
Glacier has excellent scalability, with elasticity and security that meet industry standards.
There is zero latency or downtime.
Transitioning between S3 storage classes, like moving data from the standard class to Glacier or Glacier Deep Archive, has been challenging.
Amazon S3 is highly stable.
It is specifically designed for cold storage.
I do not experience any stability issues.
Amazon S3 Glacier is quite stable, nine out of ten.
An improvement could be associating the naming with personal accounts, allowing more familiar or desired names without conflicting with global conventions.
The practice of protecting data could be more streamlined or mandatory.
I would like to see an increase in the data upload limit, similar to DynamoDB, where there is no data limit.
I would like to see improvements in the transfer rate as it takes quite a long time to retrieve data from Glacier compared to standard S3 storage.
Support could be more robust, with a focus on providing comprehensive solutions even for novel issues.
Another improvement is making Glacier available in all regions.
I've used the free tier and haven't been charged yet.
S3 offers multiple classes, allowing you to move data to cheaper classes for cost savings.
It is somewhat justified due to the benefits, but there is room for reconsideration.
Compared to competitors like GCP, AWS can work on reducing hidden costs and overall pricing to retain startups and medium-sized businesses.
The storage cost is minimal, which is beneficial for archival purposes.
While it's generally cost-effective, the pricing model could be clearer.
Its stability and scalability are also impressive, as it allows for increased storage space according to demand.
I appreciate its capability to create static websites and integrate with services like CloudFront, EC2, and DynamoDB.
Security measures like encryption, access controls, and the block public access feature are also important.
Glacier greatly helps in managing storage costs by moving historical data to a lower-cost storage option.
The security features include object lock encryption and immutability options, so we can use this for backups.
The most valuable features of Amazon S3 Glacier are its cost-effectiveness for data archiving and its durability.
Amazon Simple Storage Service is storage for the Internet. It is designed to make web-scale computing easier for developers.
Amazon S3 has a simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, fast, inexpensive data storage infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers.
Amazon Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup. Customers can reliably store large or small amounts of data for as little as $0.007 per gigabyte per month, a significant savings compared to on-premises solutions. To keep costs low, Amazon Glacier is optimized for infrequently accessed data where a retrieval time of several hours is suitable.
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