AWS Storage Gateway vs. Azure Blob Storage, with Azure Data Lake Storage

The AWS Storage Gateway is well suited if you want a quick way to off load your backups to the cloud to eliminate the need of a offsite storage location for physical tapes. The ROI is quite good from that perspective since you can utilize Glacier storage for the virtual tapes. The AWS Storage Gateway is not well suited if data sets being backed up is very large. The lack of de-duplication will add time to your backup. It will also increase the egress charges

In Azure, it is the storage to use, and in my view, the Blob Storage offers more, or finer-grained configuration options, than S3. So my recommendation would be to check in detail what is offered. As the Blob Storage is more or less a Microsoft exclusive product, the "interoperability" is more limited than, for example, with S3. The S3 is more widely adopted, and if you cannot exclude a migration scenario from one cloud provider to another, additional effort is needed.

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• Easy to deploy: Setting the solution up took much less time than anticipated.
• AWS management Console facilitates monitoring: This allowed us to ditch a home baked solution in lieu this great tool!
• Secure data transfer: Easily passing our company audits and standards for security.
• VM integration

• The data lake analytics tool is good and provides loads of computing power to speed up the processing time.
• It provides unlimited storage for structured, semi-structured or unstructured data.
• Cloud-based service and we can easily use it for ETL and ELT processes.

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• Ease of finding useful helpful tips on using AWS
• Dumbing down of the technical jargon on the site
• Short sharp to the point step videos - answering some common questions
• Remembering not everyone is an IT person - could be more user friendly

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• study for the certifications also to have them as a reference for work when you have any questions about applying a configuration to the equipment.
• The Internet interface is simple and easy to use. Capacity is good and it's good that HP continues to innovate with this technology

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AWS Storage Gateway is a good product and for certain use cases works really well, however i would like to see it support additional protocols in the future.

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Blob storage is fairly simple, with several different options/settings that can be configured. The file explorer has enhanced its usability. Some areas could be improved, such as providing more details or stats on how many times a file has been accessed. It is an obvious choice if you're already using Azure/Entra.

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AWS Storage Gateway is supported by the AWS Support team, they provide excellent support and great SLAs for our needs.

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Microsoft has improved its customer service standpoint over the years. The ability to chat with an issue, get a callback, schedule a call or work with an architecture team(for free) is a huge plus. I can get mentorship and guidance on where to go with my environment without pushy sales tactics. This is very refreshing. Typically support can get me to where I need to be on the first contact, which is also nice.

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AWS Storage Gateway performance is ever excellent since we deployed it in our company. Downloading this platform and installing the setup is easy as compared to other similar products. Virtual data that we get from our cloud servers [are] good in the enhancement of better planning and safety [compliance]. I have been able to integrate the data from our server to our systems to streamline workflow and boost performance.

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Azure Premium Blob offers better latency than competitors. It works best with the Azure ecosystem, and competitors lack it. Azure Blob even stands out in storage durability, providing up to 16 nines. It can have various use cases that can suit all the organisation's needs. The Azure Blob solution can also be deployed on-premises.

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• It has positively affected us for ETL on reports to customers that neither party wants to pay too much for.
• It has also positively affected us where our backup systems where old and had large maintenance costs.
• It has some new, net negative impact with slowed down delivery or random slowing incidents.

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• Data Migration projects from relational sources to Azure Data Lake Storage have given a great ROI, thanks to the less running costs, and High availability
• Pretty easy to work with in terms of Managing and accessing Data in containerized fashion.
• Further features like Archival of data which is accessed less frequently can significantly reduce cost

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