Alibaba Cloud Object Storage Service (OSS) vs. Azure Data Lake Storage

It will be a very good decision to use Alibaba Object Storage Service if you need a good OSS at a cheap price. Alibaba is the answer to it, but you can't fully rely on it because sometimes on Southeast Asia server locations it will always have a high possibility of loss (can't be accessed, cant upload/download, etc.).

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Azure Data Lake is an absolutely essential piece of a modern data and analytics platform. Over the past 2 years, our usage of Azure Data Lake as a reporting source has continued to grow and far exceeds more traditional sources like MS SQL, Oracle, etc.

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• Cheap
• Many location options
• Well documented

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• Setting up Azure Data Lake Storage account, container is quite easy
• Access from anywhere and easy maintenance
• Integration with Azure Data Factory service for end to end pipeline is pretty easy
• Can store Any form of data (Structured, Unstructured, Semi) in faster manner

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• Reliability
• Technical support
• Availability

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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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I used Backblaze as Alibaba OSS backup, Backblaze is good for you that need a cheap-first OSS service. In our team's opinion, Backblaze isn't too good for our region market (Southeast Asia) but its service can be reliable. So, we choose it as a backup service for Alibaba Object Storage Service.

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Azure Data Lake Storage from a functionality perspective is a much easier solution to work with. It's implementation from Amazon EMR went smooth, and continued usage is definitely better. However, Amazon EMR was significantly cheaper overall between the high transaction fees and cost of storage due to growth. The two both have their advantages and disadvantages, but the functionality of Azure Data Lake Storage outweighed it's cost

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• Storage efficiency
• Cost efficiency
• Low-availability

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• Instead of having separate pools of storage for data we are now operating on a single layer platform which has cut down on time spent on maintaining those separate pools.
• We have had more of an ROI with the scalability as we are able to control costs of storage when need be.
• We are able to operate in a more streamlined approach as we are able to stay within the Azure suite of products and integrate seamlessly with the rest of the applications in our cloud-based infrastructure

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