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.
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.
Support quality is good, but the main issue is the delay in handling tickets.
The response time for enterprise support needs improvement.
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.
The ability to scale is well-supported.
It is a significant advantage of the product.
We are on a premium plan, which should handle scalability automatically.
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.
It isn't as stable as sound storage systems in a premise environment.
Overall, the stability is very good.
None of the other storage vendors have all these features so easily manageable and fast to set up as Block Storage.
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.
Its compatibility with various platforms could be enhanced to allow for a seamless operation across different cloud environments.
Some alternatives are cheaper and available for long trial periods before the payment.
Enabling SFTP on Microsoft Azure Block Storage didn’t allow us to get the IP address, as Azure doesn’t support it.
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.
For medium-sized companies, especially when discussing cost and scalability, it can be quite expensive.
The cost for Azure Data Factory, utilized for intensive data migration, was high but expected, as it's a one-time activity.
It is reasonable, however, it can be cheaper.
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.
The tool allows me to download to my device, control access, and manage data with ease.
The ability to increase and scale out is really easy, allowing us to manage a large amount of data with reduced dependency on scalability issues.
I can store data, use the storage account as a queue, and the pricing is also quite economical.
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.
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