Take advantage of cloud flexibility and economics without sacrificing performance and simplicity. Access data centrally and independent of the protocols needed to connect to it. Data can reside and migrate anywhere while being accessed with local performance. Explore the resources below to learn more.
Learn more about the Alluxio unified namespace, an abstraction that makes it possible to access multiple independent storage systems through the same namespace and interface. Applications simply connect and Alluxio manages the communication with the different underlying storage systems on behalf of the application.
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 enables the separation of compute and storage resources, and eases cloud adoption without performance tradeoffs.
Tiered locality uses awareness of network topology and configurable policies to manage data placement for performance and cost optimizations. This feature is particularly useful with cloud deployments across multiple availability zones. It can also be useful for cost savings in environments where cross-zone or cross-location traffic is more expensive than intra-zone data traffic.
Learn how Alluxio can improve performance and reduce cost for cloud-based analytics pipelines
Learn how a leading US Hedge Fund improved machine learning model processing time by 4X for large scale data processing in a hybrid cloud environment unifying on-premise and cloud storage.
Learn how Lenovo unified data from multiple data centers and eliminated the ETL process while lowering storage cost due to multiple data copies.
Learn how leading e-commerce company Myntra unifies data in the AWS cloud for processing in an analytics pipeline with Spark and Kafka.
Learn how China’s leading data broker unifies data from AWS S3 (object storage) and HDFS without ETL for analytics in a hybrid cloud environment
Learn how customers leverage ArcGIS to read and write geospatial data to a plethora of distributed data stores, such as Amazon S3, HDFS, or OpenStack Swift, including data stores are not natively supported by the ArcGIS platform.
Learn how Alluxio provides data unification across disparate storage systems on-premise and in the cloud. Business analytics, object recognition, query engines and key-value store can all interact with data stored in Amazon Web Services S3, Ceph, and the Hadoop File System (HDFS) with ease at memory speed.
Learn how Guardant Health deployed an end-to-end Spark data processing solution with Alluxio as the unified storage layer in conjunction with Mesos and Minio.