Microsoft Azure Object Storage and Oracle Cloud Object Storage compete in the cloud data storage category. Oracle Cloud Object Storage has the upper hand due to its extensive features, especially in data management and analytics.
Features: Microsoft Azure Object Storage offers seamless integration with existing Microsoft services, high scalability, and strong security features. Oracle Cloud Object Storage provides comprehensive data management tools, efficient tiered storage, and advanced analytics capabilities. Oracle Cloud tends to have a stronger feature set, particularly in data management and analytics.
Room for Improvement: Microsoft Azure Object Storage could enhance its cost management and provide more detailed performance analytics. Oracle Cloud Object Storage needs improvement in technical documentation and reduction in support response times. Even though both products have improvement areas, the feedback is more critical for Oracle Cloud's documentation and support.
Ease of Deployment and Customer Service: Microsoft Azure Object Storage users report smooth deployment experiences due to comprehensive support and detailed onboarding resources. Oracle Cloud Object Storage users find the deployment process straightforward but occasionally less responsive customer service hampers it. Microsoft Azure is more favorable for deployment with better customer service response.
Pricing and ROI: Microsoft Azure Object Storage users report reasonable setup costs with good ROI when leveraging existing Microsoft investments. Oracle Cloud Object Storage users note higher initial setup costs justified by superior performance and advanced features, yielding high ROI. Microsoft Azure is seen as cost-effective, while Oracle Cloud offers better long-term value.
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.
I have a premium subscription for Oracle Cloud, which ensures a high level of support.
Sometimes, the expertise of those who come on call is not adequate.
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.
We can adjust the number of CPUs as per our need and reduce the load.
The downloading of high volume data and scalability processes face performance issues related to high data volumes.
The system is stable, especially when set up in a single region.
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.
The improvement needed for Microsoft Azure Object Storage is to reduce the transactional charges, as these read and write operation charges are higher.
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.
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.
It's a pay-per-use solution and a good idea for proof of concept and value.
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.
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.
Since I work mostly with AI/ML, data piping, data integrations, and ETL tools, these features are valuable.
The ability to store everything inside Blob or Object storage and use it for archiving data is beneficial.
It is stable, requires high availability, and works with large datasets seamlessly.
I find manageability, scalability, and security of the product most valuable.
It also provides multi-region support, enhancing data accessibility and safety.
REST-based object storage for unstructured data in the cloud
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.
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