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On Premise Object Store


Where does youtube store so many videos?How to store all static media files of a website with heavy traffic?solution to store 10TB /MonthWhy should I choose an Enterprise Storage Vendor?S3-compatible Object Storage systemsHow do the file sharing websites store such huge amounts of data?HW/SW Design: 2 Petabyte of storageScalable NAS: on-premise and minimum of 6 TBCreating a scalable back-up cluster with one interface and retentionHow to safely store data and DBs on Kubernetes (or similar) on DigitalOcean













0















We have a need to store unstructured data that is coming from various nodes to a centralized system where this data will be archived and analytics apps built on top of it.
Each dataset can be ~200 MB in size with ~1000 datasets coming in per day and with a retention period of about a year, the system needs to store ~70 TB of data at peak load (i.e 200 MB per data * 1000 datasets per day * 365 days = ~70TB).



The software for the system I am working on is built using .NET stack and one of the constraints is that the system needs to be on-premise (public cloud is not an option and we also 'cannot' use Azure Stack for now, looks like it needs specialized hardware)



I was thinking a of using an on-premise Object store (for high scalability reasons and also at reasonable latency). Any on-premise object store solutions that you would recommend (I just see a lot of solutions from EMC, Minio, IBM, HP, Hitachi etc) and find it hard to get a comparative study?
Easy interop with .NET stack would be an important factor for me.










share|improve this question























  • Sorry, but hard- and software recommendations are off topic for this site.

    – Gerald Schneider
    21 mins ago
















0















We have a need to store unstructured data that is coming from various nodes to a centralized system where this data will be archived and analytics apps built on top of it.
Each dataset can be ~200 MB in size with ~1000 datasets coming in per day and with a retention period of about a year, the system needs to store ~70 TB of data at peak load (i.e 200 MB per data * 1000 datasets per day * 365 days = ~70TB).



The software for the system I am working on is built using .NET stack and one of the constraints is that the system needs to be on-premise (public cloud is not an option and we also 'cannot' use Azure Stack for now, looks like it needs specialized hardware)



I was thinking a of using an on-premise Object store (for high scalability reasons and also at reasonable latency). Any on-premise object store solutions that you would recommend (I just see a lot of solutions from EMC, Minio, IBM, HP, Hitachi etc) and find it hard to get a comparative study?
Easy interop with .NET stack would be an important factor for me.










share|improve this question























  • Sorry, but hard- and software recommendations are off topic for this site.

    – Gerald Schneider
    21 mins ago














0












0








0








We have a need to store unstructured data that is coming from various nodes to a centralized system where this data will be archived and analytics apps built on top of it.
Each dataset can be ~200 MB in size with ~1000 datasets coming in per day and with a retention period of about a year, the system needs to store ~70 TB of data at peak load (i.e 200 MB per data * 1000 datasets per day * 365 days = ~70TB).



The software for the system I am working on is built using .NET stack and one of the constraints is that the system needs to be on-premise (public cloud is not an option and we also 'cannot' use Azure Stack for now, looks like it needs specialized hardware)



I was thinking a of using an on-premise Object store (for high scalability reasons and also at reasonable latency). Any on-premise object store solutions that you would recommend (I just see a lot of solutions from EMC, Minio, IBM, HP, Hitachi etc) and find it hard to get a comparative study?
Easy interop with .NET stack would be an important factor for me.










share|improve this question














We have a need to store unstructured data that is coming from various nodes to a centralized system where this data will be archived and analytics apps built on top of it.
Each dataset can be ~200 MB in size with ~1000 datasets coming in per day and with a retention period of about a year, the system needs to store ~70 TB of data at peak load (i.e 200 MB per data * 1000 datasets per day * 365 days = ~70TB).



The software for the system I am working on is built using .NET stack and one of the constraints is that the system needs to be on-premise (public cloud is not an option and we also 'cannot' use Azure Stack for now, looks like it needs specialized hardware)



I was thinking a of using an on-premise Object store (for high scalability reasons and also at reasonable latency). Any on-premise object store solutions that you would recommend (I just see a lot of solutions from EMC, Minio, IBM, HP, Hitachi etc) and find it hard to get a comparative study?
Easy interop with .NET stack would be an important factor for me.







storage .net distributed-filesystems






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked 24 mins ago









SanthoshSanthosh

101113




101113













  • Sorry, but hard- and software recommendations are off topic for this site.

    – Gerald Schneider
    21 mins ago



















  • Sorry, but hard- and software recommendations are off topic for this site.

    – Gerald Schneider
    21 mins ago

















Sorry, but hard- and software recommendations are off topic for this site.

– Gerald Schneider
21 mins ago





Sorry, but hard- and software recommendations are off topic for this site.

– Gerald Schneider
21 mins ago










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