Longhorn Block Storage vs. Nasuni

Longhorn is performing well as storage for databases and in almost any solution that uses exclusive access to volumes (ReadWriteOnce in Kubernetes nomenclature). When write access is required from many clients (ReadWriteMany) Longhorn Block Storage covers its volumes with NFS (file-based) access. Longhorn Block Storage also is well fitted in every architecture where data security (snapshots, backups, multiple replicas) is more important than access speed (in terms on IOPS and MiB/s).

Well suited if you have a lot of data that doesn't need to be stored and read right away. I think even if you don't have much data, you can still use it for it's intended purpose to great effect, but think of it as the more data you have, the even better it will work. I don't think it would be particularly useful if you already have a slick file restore system in place and you don't need to store your data elsewhere with redundancy.

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• Creates read-write many (RWX) volumes
• Longhorn Block Storage is an easy to deploy solution
• Scheduled and on-demand volume snapshots can be created using web GUI
• Volume backups can be stored offsite on any S3 compatible storage solution
• Backups and snapshots can be restored using web GUI

• The management console is extremely simple and easy to navigate, making common tasks easy to do.
• Our storage appliance is configured to snapshot data several times an hour, making the risk of data loss very low.
• Data restores are very intuitive, and take seconds to initiate regardless of whether it is one file or 300GB of data. We have successfully restored many Gigs of data in minutes.

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• ReadWriteMany Longhorn volumes are still using NFS (file-based) protocol in the core.
• Using iSCSI as main protocol instead of FC ties Longhorn to Ethernet-based LAN which is in most architectures much slower that FC-based SAN.
• Longhorn could implement S3 as alternative access protocol to its volumes.
• Backups, and snapshots configuration could be configured at each volume-level by administrators (maybe from additional CRD object?), because currently is configured at storage-class level which is not granular enough.

• Better analytics when issues arise.
• Better onboarding documentation.
• Real-time monitoring.

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Longhorn is mature software defined storage solution that is still developed and receive new functionalities. From the beginning every Longhorn volume have multiple (at least two) replicas, can leverage manual or automatic snapshots and backup to external S3 volume. Longhorn provides nice and clear GUI for administrators, but also can be managed from CLI.

As I mentioned, the user interface is amazing and straight forward. It's very easy to learn how to configure and restore files. I would like a bit more reporting, especially in terms of live reporting and monitoring. The support is great when you have a question on how to do something, which helps with usability.

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Again, it may have a little to do with the size and speed of your own environment, but we've been nothing but pleased with the speed of access of the files - even pulling old files from the cloud storage. Recovery of huge and many data files is a bit slow if you don't have the specs of the filer up to snuff.

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GlusterFS was first Persistent Storage solution used in our Kubernetes-based clusters. It is file-based what in some usages led us to many data corruptions. CEPH is object-based persistent storage which can be used as file-based Persistent Storage in Kubernetes. It is also is much more resource-hungry than other solutions including Longhorn. Dell PowerScale (or Isilon) is a hardware-software solution, that provides volumes that can be accessed by file-based NFS and CIFS protocols. Recently was added access to its volumes with object-based S3 protocol. Longhorn is in the middle. It is block-based, it is build on industry standards like iSCSI, performs very well on 10Gbit or faster LAN and commodity hardware (or in virtual machines)

The technical support and escalation path for Nasuni is much more reliable and efficient. No getting transferred to various teams. Often times, the person who answers your call is able to resolve your issue. If they cannot, they get the case assigned to the appropriate engineer right away. Time to close has always been very good.

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• It has provided a highly available storage solution for almost all our Kubernetes deployments
• We can deploy new app versions with peace in mind because we have working data backups
• Application development is faster because devs can play with data and easily restore it when needed

• Dramatically reduced time spent managing our storage platform. Quotas and reporting tools take all the guesswork out of data growth. Updates are easy to deploy. Time freed up can be used for more user-facing activities that we consider more valuable to the organization.
• The overall stability of the platform has been very good. We have been running on the same hardware for the past four years without any performance issues.

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Independently Invited by TrustRadius

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