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.
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Cloudian HyperStore
Score 8.0 out of 10
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Cloudian offers the HyperStore object storage solution.
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.
I think the strong suite here is backup and recovery of data, very fast recovery times which are essential in any environment. Smaller companies who have limited budget and may not reap the tangible benefits due to smaller IT departments. Learning curve is required and with a small staff, many companies do not have the luxury of having to learn a more complex product.
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
At the end of the day, it's about return on investment with products, ease of use in the environment, support of the product. Many of these products are very good and do exactly what they say they can do, but in today's times, companies are very strict with budgetary dollars and want the most bang for the buck. HyperStore was proven thru demonstrations that it was a cohesive fit, but again it comes down to cost.
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