Amazon S3 Glacier and Microsoft Azure Object Storage are two leading cloud storage solutions. Amazon S3 Glacier generally has the upper hand due to its cost-effectiveness and customer service, while Microsoft Azure Object Storage leads in features and integration capabilities.
Features: Amazon S3 Glacier offers cost-effective long-term data storage, easy integration with other AWS services, and robust support. Microsoft Azure Object Storage provides comprehensive data management capabilities, seamless integration with various Azure services, and an extensive feature set for complex storage needs.
Room for Improvement: Amazon S3 Glacier could benefit from improved retrieval speeds, more transparent pricing details, and enhanced user interface. Microsoft Azure Object Storage users desire simpler management tools, better documentation, and streamlined billing processes.
Ease of Deployment and Customer Service: Amazon S3 Glacier is noted for its straightforward deployment process and responsive customer support. Microsoft Azure Object Storage, while easy to deploy, gets mixed reviews regarding support, with some users finding it less responsive compared to AWS.
Pricing and ROI: Amazon S3 Glacier is recognized for low setup costs and high ROI due to usage-based pricing and minimal maintenance requirements. Microsoft Azure Object Storage, though more expensive, offers higher ROI for users needing advanced features and integration capabilities, with reported benefits justifying the additional cost for scalable, feature-rich solutions.
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.
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.
If I want to change something on my resources or directly access it via the portal, there is not a service level agreement of 100%, and sometimes it's quite difficult to access.
Technical support from Microsoft is good.
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.
The storage is very scalable, so you can effortlessly scale it.
The downloading of high volume data and scalability processes face performance issues related to high data volumes.
Most of the time, it fits the requirement, but for drastic demands, we may need to provide quotas and other requirements to Microsoft for them to manage forecast and capacity planning.
It is specifically designed for cold storage.
I do not experience any stability issues.
Amazon S3 Glacier is quite stable, nine out of ten.
The downloading of high volume data and scalability processes face performance issues related to high data volumes.
From a security standpoint, there is a question mark due to past cyber attacks.
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.
When using Data Lakes for analytics and frequently pulling data from our source database to Microsoft Azure Blob Storage, there should be faster methods to download large data from Microsoft Azure Storage Blob to different locations.
They need enhancement in security aspects. Security alerts and integrations could be improved as part of lifecycle management, especially for archives and restoration requirements.
The improvement needed for Microsoft Azure Object Storage is to reduce the transactional charges, as these read and write operation charges are higher.
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.
Amazon S3 Glacier is beneficial due to its lower cost.
It's a pay-per-use solution and a good idea for proof of concept and value.
The licensing cost of Microsoft Azure Object Storage is cheaper compared to other competitors, such as Google or third-party solutions, which easily engages customers.
Regarding pricing for Microsoft Azure Object Storage, I find it reasonable.
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.
Since I work mostly with AI/ML, data piping, data integrations, and ETL tools, these features are valuable.
When talking about storage accounts, customers utilize Azure file as a replica of the file server, allowing them to access file shares or storage accounts from their systems, making it easy to use while automatically syncing data with the cloud.
The ability to store everything inside Blob or Object storage and use it for archiving data is beneficial.
| Product | Market Share (%) |
|---|---|
| Amazon S3 Glacier | 13.8% |
| Microsoft Azure Object Storage | 2.4% |
| Other | 83.8% |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 6 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 11 |
| Large Enterprise | 21 |
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.
REST-based object storage for unstructured data in the cloud
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