Both Microsoft Azure Object Storage and NetApp Cloud Volumes ONTAP are prominent cloud storage solutions. NetApp Cloud Volumes ONTAP seems to have the upper hand due to its advanced data management features, despite higher costs.
Features: Microsoft Azure Object Storage is noted for reliability, scalability, and ease of integration with Azure services. It has a variety of storage options and seamless API integration. NetApp Cloud Volumes ONTAP is recognized for its advanced data management features, integration with multiple cloud providers, and powerful data protection capabilities. It includes features like Snapshot, FlexClone, and Data Tiering.
Room for Improvement: Microsoft Azure Object Storage users suggest enhancements in performance during peak times, better security features, and improved cost optimization tools. NetApp Cloud Volumes ONTAP users call for a simpler setup process, better documentation, and enhanced education resources.
Ease of Deployment and Customer Service: Microsoft Azure Object Storage users generally find the deployment process straightforward and appreciate the extensive support resources available. NetApp Cloud Volumes ONTAP users experience a steeper learning curve during deployment and express a need for more intuitive guidance. However, they value the robust customer support provided by NetApp.
Pricing and ROI: Microsoft Azure Object Storage is considered cost-effective, with good ROI due to its pay-as-you-go pricing model and efficient resource use. NetApp Cloud Volumes ONTAP, though more expensive upfront, offers high ROI through its advanced features and data management capabilities.
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.
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.
The downloading of high volume data and scalability processes face performance issues related to high data volumes.
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.
My opinion is that support is generally very good. There are instances where they take longer to respond or resolve issues, especially when customers have urgent needs, but ultimately, resolution is achieved.
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.
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.
REST-based object storage for unstructured data in the cloud
NetApp Cloud Volumes ONTAP is an efficient storage management solution for managing and storing data in the cloud. It offers seamless integration with cloud providers, advanced data replication capabilities, and high data protection. With reliable performance, it is ideal for industries like healthcare and finance.
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