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File Systems & Storage
Memory-Centric Storage System
★ 4.2
Cloud-Native File System
★ 4.3
pip install alluxioN/A — CLI binary, see juicefs.compip install alluxioN/A — CLI binary, see juicefs.comPython data engineers use Alluxio to accelerate PySpark pipelines that repeatedly read the same S3 or HDFS data. By mounting S3 data into Alluxio's memory cache, subsequent Spark reads hit in-memory cache instead of object storage — reducing read latency from seconds to milliseconds for iterative ML training or repeated dashboard queries.
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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