Azure Data Lake Storage vs. IBM Storage Protect

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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IBM Storage Protect is well-suited for large heterogenous environments, with skilled IT staff on-hand. You need a person (or group of people) to monitor day-to-day operations, tweak schedules where needed and be mindful of things that might go wrong. It is also well-suited if you have other IBM products that integrate well with Storage Protect, like Storage Protect Plus or IBM Defender. It is less suited for small companies, with only one person responsible for IT. Employing Storage Protect would be overkill and use too much time of the administrator.

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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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• Tight integration with Db2. As an IBM product, it works seamlessly with Db2. You can query what is stored in TSM via Db2 itself. You can also use DB scripts to maintain the items being stored there.
• Like most of its competitors, Tivoli handles deduplication well.
• Provides a GUI for browsing and maintaining items stored there. I rarely use this feature, due to the next item I will post:
• Command-line interface directly from my Db2 database servers.
• Both client and server-side deduplication, compression and encryption are available.
• If the requirements are zLinux and DB2 support then it's the most solid solution.
• Can be complex to implement, but once up and running, it is rock-solid and immensely scalable.
• Scalability is huge. Can be added onto easily.

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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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• Deployment and configuration is not easy for an unexperienced IBM Spectrum Protect administrator
• Operations center uses a lot of data and needs a lot of storage for larger environments
• Have not seen a redbook about it in the past 10 years

Not required, company closed. TSM is not used in my current role at my current job.

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In the present, a backup solution is a must-have, but then companies start using a solution for virtual machines, another solution for bare-metal servers, and another solution for their ERP. By using Spectrum Protect you can have all of that in a single pane of glass. This way you can have a simple recovery plan for all your information assets.

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The few times we've called for support we eventually got an answer, but it's IBM and a very big company and getting to a support agent is hard.

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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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IBM Spectrum Protect is related to the other IBM Spectrum products listed because it is part of the suite and is also the main backup product for backup and restoration of information. With Veeam it is related as they present competence in different lines of technology, often the integration of both tools can be the best solution for clients looking for a successful backup strategy.

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Not at the moment, but it can leverage the billing outcomes as per the scales.

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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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• Tivoli does well running file-level backups, but Exchange is clunky and restores are really hard. With no SharePoint agent, if you use SharePoint you will need another product like AvePoint DocAve. The web-based GUI console is MUCH improved over earlier versions, but you will still need to be a command-line guru to make Tivoli do everything, and local (node) config files still rule. This product was originally ported from Unix and retains may of its 'nix roots.

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