Data can be anywhere, and with the adoption of cloud infrastructure it’s often located remotely.
Get data to the application that needs it and accelerate time to value. Speed up applications by
temporarily storing data locally and avoid latency issues from remote access. Explore the
resources below to learn more.
Learn how Alluxio accelerates applications with memory-speed data access including a step-by-step guide to deploying and on-demand cluster running a sample workload.
Learn how Alluxio accelerates analytics applications on object storage located on-premise, remotely, or in the cloud.
Learn how Alluxio enables the separation of compute and storage resources, eases cloud adoption and accelerates data from remote locations.
Learn how a leading US Hedge Fund improved machine learning model processing time by 4X in the cloud by accelerating access to remote (on-premise) data sources.
Learn how Lenovo unified data from multiple data centers and eliminated the ETL process without performance tradeoffs.
Learn how MOMO deployed Alluxio to optimize ad hoc queries with Spark SQL
Learn how Baidu, the largest search engine in China, overcame query performance challenges with data located in a remote data center, transforming queries from a batch process to interactive.
Learn how Alluxio provides an in-memory storage layer for data, so any Spark application has straightforward access through the standard file system API as you would for HDFS. Alluxio enables transformations and explorations on large datasets in memory, while enjoying the simple integration with our existing applications.
Learn how the Alluxio unified namespace enables different applications and frameworks to easily interact with our data from different independent storage systems.