Synology Storage

Equipped with a dual-core CPU, DS115 delivers improved computing and data transfer performance compared to its predecessor, with average reading speeds over 111.51 MB/s and writing over 104.69 MB/s.¹ Enjoy faster data transfers, quick access to media files, as well as smoother cloud synchronization.

Compact, lightweight, and energy-efficient, DS115j is perfect for budget-conscious home users looking for a simple, yet feature-rich NAS server. Easily back up documents, monitor live surveillance feeds, or build a personal cloud to share files with friends and family.

Powered by a quad-core CPU combined with 2GB of DDR3 RAM, DS1515 delivers outstanding performance over 403.77 MB/s reading and 421.85 MB/s writing¹ with Link Aggregation enabled. Powerful hardware enables DS1515 to deal with considerable amounts of data processing requests and provide consistently high throughput to all connected clients.

DS1515+ is powered by a quad-core CPU running at 2.4 GHz. Combined with 2GB of DDR3 RAM (expandable to 6GB), it delivers blazing-fast performance over 450.77 MB/s reading and 396.5 MB/s writing.¹ That much power makes it easy for DS1515+ to multitask and provide consistently high throughput to all connected clients.

DS1815+ is powered by a quad-core CPU running at 2.4 GHz. Combined with 2GB of DDR3 RAM (expandable to 6GB), it delivers blazing-fast performance over 450 MB/s reading and 412 MB/s writing.¹ That much power makes it easy for DS1815+ to multitask and provide consistently high throughput to all connected clients.

DS2015xs is equipped with two built-in 10GbE SFP+ ports and two 1GbE RJ-45 ports, entitling productivity-minded SMBs to lightning fast network connection that used to be the privilege of costly enterprise-grade servers. Enabled by Link Aggregation support, the maximized bandwidth can effortlessly handle intensive multi-tasking, such as simultaneously running multiple applications in a virtualized environment. Coming with native SATA III 6Gb/s support, DS2015xs further ensures the optimum data process under heavy system loading.