Azure Data Lake Storage vs. Hitachi Content Platform (HCP)

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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• [Hitachi Content Platform (HCP) is] well suited for needs requiring a highly secure, multi-tenant on-premise object store.
• Exceeds expectations with respect to object level attributes and permissions
• Has excellent S3/HS3 REST API feature set
• Situations which require versioning and proven Immutability (certified by Governments)

- Expensive to use for general file storage publishing where meta data, compliance, retention, versioning are unnecessary.

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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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• HCP/HDI interface works like charm. it's easy to deploy and scale.
• Hitachi customer support is at par with expectations
• More cost effective than EMC/NetApp solutions.

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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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• Cost structure is by capacity and is expensive
• Some access settings are mutually exclusive for performance (REST vs. CIFS)
• QoS by Tenant requires use of external ADC (Hitachi suggested and sold us Pulse Secure) and their support on this product offering is not up to their normally high standard

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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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My company has close ties with Hitachi. NetApp chargeback was more per Gig and for cost saving purposes, we had to choose HCP.

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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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• Best on premise solution of its' kind that encapsulates all our needs
• ROI has been positive but it does raise questions at renewal time in terms of cost/GB vs other 2nd tier storage types

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info