Mar 31, 2022
It depends on the storage capacity you are looking for and expected data growth. You would need to ascertain these numbers before looking at backup volumes, and potential costs.
Find out in this report how the two Cloud Storage solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Moving infrequently accessed data to cheaper classes like Glacier is beneficial for long-term storage at a lower cost.
I have seen a return on investment, and the ROI that we observed in our organization includes reducing manpower by 20% and achieving zero downtime for storage expansion, which improves overall productivity.
Amazon S3 has a reasonable price as you pay a flat price to use it.
While the time to respond was good, the time to resolve was not optimal, as it took more than a week.
Amazon's support model is consistent across services.
Training and support depend on the plan you have, with centralized support being very helpful in case issues arise.
I rate the technical support from Amazon for S3 a ten out of ten.
The customer support for Amazon S3 is very good; they are responsive and knowledgeable, providing quick resolutions, clear documentation, and proactive guidance during migrations or performance tuning.
An engineer is assigned based on the severity of the issue.
Its auto-scaling feature is a crucial point, providing high scalability that I would rate at ten out of ten.
Elastic File Systems allow me to scale up or down easily.
It is very cost-effective, and there's no need for initial charges.
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.
The scalability of Amazon S3 is excellent as it handles unlimited data and seamlessly supports growth without manual provisioning or performance degradation.
Amazon EFS is extremely stable, as it is managed by AWS.
While I experienced an EFS mount dropping, it was related to server issues rather than EFS itself.
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.
Database-type workloads do not run properly on Amazon EFS (Elastic File System) because at the end of the day, it is a network file system and requests must travel from one place to another and then return.
Enabling AI-driven or automatic features would be beneficial for new or nontechnical users.
In my project, there are challenges related to AWS, such as ensuring proper security measures with IMS code and encryption.
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.
EFS could cost around $30 to $50 per month for similar usage.
Amazon EFS is more costly compared to other storage options available from AWS.
Elastic File Systems can be expensive due to the nature of data transfer costs.
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.
Since using Amazon S3, storage costs have reduced by around 35% to 40% through lifecycle tiering.
Its ease of integration with other AWS services enhances our infrastructure, while the shared storage access improves reliability and processing continuity for our applications.
They help me process data while maintaining low latency, which is crucial for efficient data processing.
The most valuable feature of Amazon EFS is its auto-scaling capability.
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.
| Product | Mindshare (%) |
|---|---|
| Amazon EFS (Elastic File System) | 3.2% |
| Dropbox Business - Enterprise | 7.3% |
| NetApp Cloud Volumes ONTAP | 6.1% |
| Other | 83.4% |
| Product | Mindshare (%) |
|---|---|
| Amazon S3 | 13.8% |
| Amazon S3 Glacier | 10.9% |
| Microsoft Azure File Storage | 8.1% |
| Other | 67.19999999999999% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 18 |
| Large Enterprise | 39 |
Amazon Elastic File System (Amazon EFS) provides simple, scalable file storage for use with Amazon EC2 instances in the AWS Cloud. Amazon EFS is easy to use and offers a simple interface that allows you to create and configure file systems quickly and easily. With Amazon EFS, storage capacity is elastic, growing and shrinking automatically as you add and remove files, so your applications have the storage they need, when they need it.
When mounted to Amazon EC2 instances, an Amazon EFS file system provides a standard file system interface and file system access semantics, allowing you to seamlessly integrate Amazon EFS with your existing applications and tools. Multiple Amazon EC2 instances can access an Amazon EFS file system at the same time, allowing Amazon EFS to provide a common data source for workloads and applications running on more than one Amazon EC2 instance.
It’s designed for high availability and durability, and provides performance for a broad spectrum of workloads and applications, including Big Data and analytics, media processing workflows, content management, web serving, and home directories.
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.
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