Loading...
File Systems & Storage
Cloud-Native File System
★ 4.3
Simple Distributed File System
★ 4.2
N/A — CLI binary, see juicefs.comN/A — Go binary, see seaweedfs.comN/A — CLI binary, see juicefs.comN/A — Go binary, see seaweedfs.comPython data engineers use JuiceFS to mount cloud object storage as a local POSIX file system — enabling Python pipeline code that reads and writes local files to work seamlessly with S3 or GCS as the backing store without using boto3 or cloud-specific SDKs. PySpark jobs on JuiceFS benefit from its Hadoop-compatible interface and local cache for repeated dataset reads.
Python data engineers use SeaweedFS's S3-compatible API with boto3 to store and retrieve pipeline artifacts, model binaries, and intermediate data files. Its optimized handling of billions of small files makes it a good fit for storing ML training sample files or pipeline checkpoint files that would create excessive metadata overhead in traditional distributed file systems.
Individual Tool Pages