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File Systems & Storage
Scalable Network File System
★ 4.0
Cloud-Native File System
★ 4.3
N/A — system package, install via package managerN/A — CLI binary, see juicefs.comN/A — system package, install via package managerN/A — CLI binary, see juicefs.comPython data engineers in HPC and on-premise environments use GlusterFS as a shared storage layer accessible by multiple pipeline worker nodes simultaneously. Python jobs write output files to a GlusterFS mount point, and other nodes in the cluster can immediately read those files without data movement — simplifying distributed batch processing without object storage dependencies.
Python 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.
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