Amazon Elastic Block Store (EBS) from AWS is designed for application workloads that benefit from fine tuning for performance, cost and capacity. Typical use cases include Big Data analytics engines (like the Hadoop/HDFS ecosystem and Amazon EMR clusters), relational and NoSQL databases (like Microsoft SQL Server and MySQL or Cassandra and MongoDB), stream and log processing applications (like Kafka and Splunk), and data warehousing applications (like Vertica and Teradata).
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Azure Data Lake Storage
Score 8.2 out of 10
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Azure Data Lake Storage Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you speed your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads.
It provides the optimized storage performance and cost for your workload and these options really work with SSD-backed storage and it improves the database performance. Keeping backups of your EC2 resources, including EBS volumes is a little bit tricky and its takes some more time and increase through put is also a tiring job to do.
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.
Amazon EBS is a great tool and fairly easy to use as long as you are familiar with the Amazon Web Service ecosystem. It allows a great way for you to move storage around easily and allows you to quickly provision storage as needed based on the business requirement. For us, it's easy to move between our EC2 images that had been linked with EBS storage between these Amazon accounts.
The support for Amazon Elastic Block Store is great as long as you can articulate your needs. Like most tools, there may be some back and forth before you find a support person that is knowledgable in the tool and can provide you with necessary insights.
So far I have only used Amazon Elastic Block Store (EBS) and Azure but comparatively [I] prefer AWS elastic Block store as its having more advantages than Azure and I found it quite satisfactory and it helped a lot for information storage. We are not looking for any other hosting provider at this time.
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
When your application needs high IOPS storage, this is a great solution that will keep your business functioning.
Without Amazon Elastic Block Store you could try spreading your data across several standard drives, but that introduces complexity and still has IOPS limits.
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