Azure Data Lake Storage vs. Quantum ActiveScale

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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Enterprise grade organizations with B2B clientele would be served well by using this product. It alleviates the need for an on-premise storage solution by offering a cloud-based alternative. Smaller organizations with less data capacity needs would be better served with an in-house solution, unless they come out with more reasonable pricing down the road.

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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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• Flexible data management options
• Powerful data housing system storing trillions of bits of data seamlessly
• Conveniently built in the cloud
• Safe option for storing sensitive data

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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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• Lack of customization, though not much is needed with the out of the box solution
• Better options for B2C customers
• More flexible pricing plans

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It has been a fantastic solution, and now it is so highly integrated into our business, it would be difficult to imagine continuing to without it. It is part of our customer contracts as well, and it saves us from having to invest in the on-premise alternative to provide the required storage capacity.

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Support has been wonderful. Representatives are generally empathetic and knowledgeable, and they’re quick to provide status and resolution.

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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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What sets Amplidata apart is the cloud-based storage capability. We’ve realized cost savings due to the fact that we are no longer housing the data on premise, and clients rest assured that they have greater visibility into their data.

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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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• Amplidata has enabled us to replace our on-premise data storage for many of our larger clients, thus reducing the cost to deploy and house this ourselves
• Clients feel confident in storing their sensitive data with us knowing that they have full management and visibility at their fingertips
• The ability to quickly scale allows us to meet the needs of clients of all sizes

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