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systemd/casync

Free

Content-Addressable Data Synchronization Tool

FreeFree tier
Type
Open Source

About systemd/casync

casync is a content-addressable data synchronization tool that combines the rsync algorithm with content-addressable storage. It splits large data streams into variable-sized chunks based on content, stores these chunks in compressed files keyed by a strong hash, and uses a chunk index for reassembly. The tool introduces a well-defined, reproducible, random-access serialization format for directory trees, enabling efficient storage and retrieval of multiple related versions of large file systems or directory trees. It is designed for delivering and updating OS, VM, IoT, and container images over the Internet in an HTTP and CDN friendly way, and also serves as an efficient backup system. Similar contents result in mostly the same chunks, minimizing disk usage and network traffic.

Key Features

Variable-sized chunking based on content
Content-addressable storage with chunk store and index
Random-access serialization format for directory trees
HTTP and CDN friendly delivery of images
Efficient storage of multiple versions with deduplication
Efficient backup system

Pros & Cons

Pros
  • Reduces disk usage by deduplicating similar data across versions
  • Minimizes network traffic by reusing chunks already known on the receiving side
  • HTTP and CDN friendly for scalable image delivery
  • Efficient storage and retrieval of multiple related versions
Cons
  • Requires understanding of chunking and content-addressable concepts
  • May have higher CPU overhead for chunking compared to simpler tools
  • Not as widely adopted as rsync or tar

Best For

Storing multiple versions of large file systems or directory treesDelivering OS, VM, IoT, and container images over the InternetBackup systemsSynchronizing related data streams with minimal network traffic

FAQ

How does casync differ from rsync?
One major difference is that casync removes file boundaries before chunking, lumping small files together and chopping large files into pieces. This allows recognition of similarities in files and directories beyond file boundaries, which rsync does not.