DPlaneOS vs ZetaNAS

DPlaneOS is a ZFS-first storage operating system for homelab and small-office NAS deployments. It manages pools, datasets, snapshots, replication, encryption, quotas, S.M.A.R.T. and POSIX ACLs, with sharing through SMB, NFS, iSCSI and NVMe-oF. It can manage Docker and Compose stacks, ZFS-clone sandboxes, atomic updates with rollback, and an in-browser terminal. Its architecture combines a Go daemon, PostgreSQL state, a React interface and a NixOS appliance. Identity options include local users, LDAP or Active Directory, OIDC SSO, TOTP 2FA and API tokens. Cloud synchronization supports S3, Backblaze B2, Google Drive, Azure, Dropbox and rclone-compatible targets. Prometheus/OpenMetrics exposes storage and system metrics. Optional high availability is off by default; several HA configurations and NVMe-oF over TCP are marked experimental. Installation supports x86_64 and aarch64, including Raspberry Pi 5, with offline ISOs. The free Community Edition is licensed under AGPLv3. Minimum hardware is a 64-bit CPU and 8 GB RAM; 16 GB is recommended. One person maintains the project, which offers no vendor support.

ZetaNAS is an open-source network-attached storage platform for SMBs, startups, and teams running AI or machine-learning workloads. It combines file sharing, collaboration, and data pipelines with native S3 and POSIX access, plus NFS/PNFS support. The system runs on mainstream x86 or ARM hardware and can expand from one server to distributed clusters. Built-in deduplication, erasure coding, and intelligent compression are described as reducing physical storage use by 30% or more. Security and reliability features include EC replication, disk-health monitoring, fault isolation, access control, and auditing. Media tools provide multi-device sync, version history, previews, and chunked transfer. Shared workspaces add real-time synchronization and granular access control. Medical deployments support DICOM and WSI data, annotation, and quality control. AI workloads can stream through S3 and FUSE to GPU nodes. A Docker-based app store manages extensions.