JuiceFS is a distributed POSIX file system built on top of Redis and S3.
It’s designed for the cloud-native environment. The data, stored via JuiceFS, will be persisted in Object Storage (e.g. Amazon S3), and the corresponding metadata can be persisted in various compatible database engines such as Redis, MySQL, and TiKV based on the scenarios and requirements.
With JuiceFS, massive cloud storage can be directly connected to big data, machine learning, artificial intelligence, and various application platforms in production environments
This is free and open source software.
Features include:
- Fully POSIX-compatible: Use as a local file system, seamlessly docking with existing applications without breaking business workflow. JuiceFS also provides close-to-open consistency, atomic metadata operations, mmap, fallocate with punch hole, xattr, BSD locks (flock), and POSIX record locks (fcntl).
- Fully Hadoop-compatible: JuiceFS’ Hadoop Java SDK is compatible with Hadoop 2.x and Hadoop 3.x as well as various components in the Hadoop ecosystems.
- S3-compatible: JuiceFS’ S3 Gateway provides an S3-compatible interface.
- Cloud Native: A Kubernetes CSI Driver is provided for easily using JuiceFS in Kubernetes.
- Shareable: JuiceFS is a shared file storage that can be read and written by thousands of clients.
- Strong Consistency: The confirmed modification will be immediately visible on all the servers mounted with the same file system.
- Own storage format offering good performance: The latency can be as low as a few milliseconds, and the throughput can be expanded.
- Data Encryption: Supports data encryption in transit and at rest.
- Global File Locks: JuiceFS supports both BSD locks (flock) and POSIX record locks (fcntl).
- Data Compression: JuiceFS supports LZ4 or Zstandard to compress all your data.
Website: github.com/juicedata/juicefs
Support:
Developer: Juicedata, Inc
License: Apache License 2.0
JuiceFS is written in Go. Learn Go with our recommended free books and free tutorials.
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