Microsoft AI leverages Alluxio to bridge high computation workloads including TensorFlow jobs with Azure Blob storage seamlessly.
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MOMO is a leading mobile pan-entertainment social platform in China. It leverages Alluxio with Spark SQL to Speed Up Ad-hoc Analysis
Myntra is a leading Indian fashion e-commerce marketplace company. With Alluxio in its data processing pipeline, Myntra improved CX with faster actionable business intelligence from their data. The Myntra team has also contributed to Alluxio open source by documenting how to use Alluxio with Azure blob store for other users.
Netease uses Alluxio to improve the performance of interactive queries on Presto. Alluxio is deployed together with the Presto workers, and accelerates the data access from the remote HDFS clusters.
Nielsen runs Alluxio since v1.5 on AWS EMR stack to speed up the performance of Spark.
Nvidia leverages Alluxio as part of its GPU-accelerated data analytics framework to manage different storage systems, and provide a quick and easy access to information within various data lakes.
Oracle’s Big Data File System is based on Alluxio, and it is designed to accelerate data access for data pipelines with features that significantly improve the runtime performance of Spark applications. BDFS accelerates data access to and from Oracle Cloud Infrastructure Object Storage Classic by providing an active caching layer.
PerceptIn designed and implemented a cloud architecture using Alluxio that manages enormous amount of incoming data in different storage systems with high throughput and low latency.
Qiniu Cloud Atlab has built AVA, a training platform for deep learning which uses Alluxio to effectively integrate GPU computing resources and storage resources from KODO (the object storage offered by Qiniu Cloud). Alluxio accelerated training tasks to read a large number of sample files such as video and images by 50%.