Find out what your peers are saying about Amazon Web Services (AWS), Google, Microsoft and others in Public Cloud Storage Services.
Moving infrequently accessed data to cheaper classes like Glacier is beneficial for long-term storage at a lower cost.
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.
We have self-studied to learn the services.
For SAP loads, Google provided a specific team, which resulted in good support.
When issues arise, it takes them at least three to four hours to respond.
I have a premium subscription for Oracle Cloud, which ensures a high level of support.
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.
Google Cloud Storage is scalable, but there are limitations.
We can adjust the number of CPUs as per our need and reduce the load.
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.
There was no direct experience with any instability during my involvement.
The system is stable, especially when set up in a single region.
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.
They cover a broad range of products, which might affect their ability to compete well in certain niches.
The product can be difficult to use compared to how it is marketed.
I could not find a load balancer in OCI similar to the support provided by Microsoft Azure and AWS.
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.
Depending on your setup, Google Cloud Storage is economical, especially if you do not need high stability and scalability.
Google Cloud was cheaper compared to AWS and Azure.
It is an expensive product.
The pricing for Oracle Cloud is comparable to other cloud providers.
We have to pay the price, and the cost is higher.
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.
We do not experience any disruptions, and the service meets our needs and requirements.
The user interface of Google Cloud Storage is easy and consistent across all their products.
High availability, a large dataset, and stability are our main criteria for using this solution.
I find manageability, scalability, and security of the product most valuable.
It also provides multi-region support, enhancing data accessibility and safety.
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.
Google Cloud Storage is praised for its fast performance, seamless integration, high security, and scalability. Users store and access large amounts of data easily, backup files, host websites, and collaborate on projects. The platform's reliability and cost-effectiveness make it a top choice for data storage and management.
Scale with no new hardware - eliminates new capital expenditures, opens up data center space and reduces power and cooling requirements.
Elastic storage - shared infrastructure allows for infinite scalability. Eliminates forecasting and long procurement cycles.
Pay as you go and subscription models - purchase capacity with no commitment or reduce costs with longer-term agreements
Simple to manage industry standard OpenStack and RESTful APIs streamline management integration, freeing resources to accelerate other cloud projects.
