Amazon S3 is a cloud-based object storage service from Amazon Web Services. It's key features are storage management and monitoring, access management and security, data querying, and data transfer.
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Microsoft Azure
Score 8.5 out of 10
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Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
Amazon S3 (Simple Storage Service)
Microsoft Azure
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$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
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Pricing Offerings
Amazon S3
Microsoft Azure
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
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Additional Details
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The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
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Community Pulse
Amazon S3 (Simple Storage Service)
Microsoft Azure
Considered Both Products
Amazon S3
Verified User
Anonymous
Chose Amazon S3
Amazon S3 is more cost-effective then what Microsoft Azure offers.
When we were implementation the solution of our issue then we find Azure and Google Cloud Storage platforms but we were unable to find the proper documentation for the platform as compared to S3, So we moved to S3 and discarded the other options. Cost wise there are only some …
S3 provides an on-demand usage model for storage. You only pay for what you use. Nutanix is an on-premises solution and does not allow for usage-based pricing. Azure was less integrated with our current AWS workloads which helped drive our decision to use s3 with the Amazon …
Amazon S3 comes with all other services of AWS, all other services are very quick and secure with S3 storage, which is the best option for any application. Again, compared to other services like Azure or GCP, AWS provides more configuration and functions to host multi nature …
Some obvious ones are Google storage services like Drive, and their whole arsenal of services. Another could be the Office line where SharePoint and other programs can be used synchronously. I have seen other people use Windows Azure for storage needs similar to ours. We chose …
Amazon has had years of development in building their cloud solution. A few other vendors are playing catch up but that's always the case when you have the key to success. The saying goes " if you built it, they will come". :)
Azure provides an environment that while at time is more pricey, the tight integration with our existing Microsoft-based infrastructure makes it difficult to beat.
AWS is competitor and it's leading in cloud space with his wide sprawl of offerings and services. AWS is a ocean once you login you get everything on one console. AWS leads this space with all his offerings and capabilities. But Azure is not behind, it is competing and is …
For archiving old data that is infrequently accessed it is perfect. You can choose to let it go into cold/glacier storage which saves even further costs but at the expense of accessibility. I like that you can set access rules to automatically move it to the next storage tier after a certain amount of time that it has not been accessed. I also use it a lot with PHP via the API. We have some custom in-house applications that have a fair amount of data uploaded into them. S3 has been a perfect solution to store these files, taking the load off web servers and never having issues with running out of storage.
Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
Reliable and secure way to store objects in cloud: Storing any type of file(text, pdf, doc, csv, etc) is very easy with S3. Fetching this stored content as and when you require is also pretty easy and can be done using both the console and AWS CLI. Appropriate permissions can be set up for buckets using IAM roles/policies.
Versioning in buckets: S3 gives you a very handy feature to store multiple versions of objects stored in a bucket.
Lifecycle policies: You can set up lifecycle policies in S3 that can move your older objects to IA or Glacier. This setup is very easy and can be done within minutes for a bucket.
Replication: The cross-region replication that S3 provides is wonderful. Beware of the inter-regional data transfer costs though.
Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
The biggest problem is to rename the bucket. There is no direct way to do it. One need to copy entire content to the different bucket with intended bucket name and then remove the old bucket. Sometimes it creates issues.
There is no direct way to upload .zip file and extract it to inside the bucket.
While uploading large files, sometimes you will find a drop of upload speed. I observe it so many times and while checking my internet speed, I find it absolutely perfect. So there must have something wrong on the AWS side.
In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.
We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.
The UI could have some improvements (better filters) and there is a lack of some useful functionality, such as renaming an existing bucket: the latter is much needed in the context of rapidly evolving companies. Overall though, Amazon S3 (Simple Storage Service) is easy to use and to onboard people and tools to, thanks to its various APIs and flexibility.
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
It depends on your tier within Amazon on how great of support you get. For us we have a dedicated Point of Contact that is great in taking in what we need and discussing it with the S3 team. The best thing is features we need or suggest have a good chance of landing on their roadmap.
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
S3 is the most mature simple storage service on the web. It has direct competitors from Google and Azure, as well as a bunch of other competitors that focus on different aspects. For example, Backblaze specializes on file backups, and while s3 can also be used for that, Backblaze provides a better price point in exchange for more focused functionality. S3 really shines in that it performs simple things astonishingly well, while also being flexible enough to stretch itself to other situations (data lakes, file mounts, backup/restores systems, web hosting, etc.).
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.
Allows us to store large amounts of raw traffic from data providers to allow us to view data our systems received at particular times, in order to reconstruct inputs in case of errors
Is capable of storing very large amounts of data cheaply without material impact to our business
Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.
