2023-10-11, 07:05 AM
In general, QNAP no different than any other NAS system, but Docker vs. "native app" the answer for me would be: you can run the officially-supported Jellyfin image. The QNAP Jellyfin app is a third-party version of Jellyfin that may introduce vulnerabilities (e.g., running as root on the NAS), bugs, not receive updates at the same rate that the supported versions of Jellyfin do, and may not receive all of the features that Jellyfin does when you use the official versions.
From what I could tell from a quick look around, the barrier to using Docker is learning how to use containers. This means learning how to use Docker commands, what it means to bring up a container, to mount a volume, what happens when you stop a container, remove a container, if you forgot to mount your volumes, etc. There are also easy-to-use apps like Portainer that can help you manage containers via a web application rather than command line.
So...running the QNAP app? You're pretty much on your own or will need to seek support from the QNAP community or one of the very few QNAP users that frequent this forum. Docker, on the other hand, has a huge following, official support from the Jellyfin team, and bugs and vulnerabilities are generally addressed quickly based on the team's assessment.
From what I could tell from a quick look around, the barrier to using Docker is learning how to use containers. This means learning how to use Docker commands, what it means to bring up a container, to mount a volume, what happens when you stop a container, remove a container, if you forgot to mount your volumes, etc. There are also easy-to-use apps like Portainer that can help you manage containers via a web application rather than command line.
So...running the QNAP app? You're pretty much on your own or will need to seek support from the QNAP community or one of the very few QNAP users that frequent this forum. Docker, on the other hand, has a huge following, official support from the Jellyfin team, and bugs and vulnerabilities are generally addressed quickly based on the team's assessment.
Jellyfin 10.10.3 LSIO Docker | Ubuntu 24.04 LTS | i7-13700K | Arc A380 6 GB | 64 GB RAM | 79 TB Storage