Synology Active Backup for SaaS vs ZetaNAS

Synology Active Backup for SaaS backs up Microsoft 365 and Google Workspace data to Synology NAS servers for recovery after data loss or service downtime. Microsoft 365 coverage includes OneDrive for Business, SharePoint Online, Exchange Online, and Teams. Google Workspace coverage includes Drive, Gmail, Contacts, and Calendar, including shared drives, labels, and attachments. Microsoft 365 backups can run continuously, manually, or on a schedule; continuous intervals adjust from one to ten minutes based on detected API request rates. Both services support file versioning, and Google Workspace versions can be retained for a chosen period or kept in full. The Microsoft 365 Recovery Portal lets administrators and employees restore or export backed-up data, with self-service access dependent on configuration. The product is a free add-on for a compatible Synology NAS, with unlimited accounts subject to NAS storage capacity. Active Backup for Microsoft 365 requires DSM 6.1-15217 or later. Deduplication requires an x64 NAS using Btrfs, and neither service supports secondary backups. Google Workspace setup requires configuring the Drive SDK API and creating a service key.

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.