Alluxio/alluxio

Alluxio, data orchestration for analytics and machine learning in the cloud

What it solves

Alluxio is a distributed caching platform designed to bridge the gap between computation frameworks and storage systems. It solves the problem of data access latency and fragmentation by providing a common interface to connect to numerous storage systems, effectively accelerating data-intensive computation engines.

How it works

Alluxio acts as a virtual distributed file system that provides a caching layer between the storage systems and the computation frameworks. By caching data locally to the computation, it enables applications to connect to various storage backends through a unified interface, reducing the ग्लू (glue) and complexity of managing multiple storage systems.

Who it’s for

It is primarily for developers and data engineers working with large-scale data analytics workloads and data-intensive computation engines such as Presto, Spark, and Trino.

Highlights

  • Distributed caching for large-scale data.
  • Unified interface for multiple storage systems.
  • Purpose-built for structured data analytics.
  • Scales to manage up to 100 million files in the open-source edition.
  • Integration with computation engines like Spark, Presto, and Trino.

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