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File Systems & Storage
Memory-Centric Storage System
★ 4.2
Cloud-Backed File System
★ 3.8
pip install alluxiopip install s3qlpip install alluxiopip install s3qlPython 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 S3QL to mount cloud object storage as an encrypted local file system — writing pipeline output files to a mounted S3QL volume using standard Python file I/O (`open()`, `write()`) without any cloud SDK code. S3QL's encryption-at-rest is useful for storing sensitive pipeline outputs in cloud storage with a stronger encryption posture than default S3 SSE.
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