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.

Whitepaper: Unified Namespace: Allowing Applications To Access Data Anywhere

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.

Whitepaper: Accelerating On-Demand Data Analytics with Alluxio

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.

Enabling Decoupled Compute and Storage with Alluxio

Learn how Alluxio enables the separation of compute and storage resources, and eases cloud adoption without performance tradeoffs.

Blog: Data Location Awareness: Optimize Performance and Lower Cost with Tiered Locality

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.

Blog: Accelerating Cloud Pipelines with Alluxio and Fast Durable Writes

Learn how Alluxio can improve performance and reduce cost for cloud-based analytics pipelines

Case Study: Hedge Fund Improves Machine Learning Model Performance with Alluxio

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.

Case Study: Lenovo Analyzes Petabytes of Smartphone Data from Multiple Locations and Eliminates ETL with Alluxio

Learn how Lenovo unified data from multiple data centers and eliminated the ETL process while lowering storage cost due to multiple data copies.

Case Study: Myntra Accelerates Analytics in the Cloud for Mobile E-Commerce

Learn how leading e-commerce company Myntra unifies data in the AWS cloud for processing in an analytics pipeline with Spark and Kafka.

Case Study: TalkingData, Leading Data Broker in China, Leverages Alluxio to Unify Terabytes of Data Across Disparate Data Sources

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

Case Study: ArcGIS and Alluxio - Enhancing ArcGIS mapping and analytics to get faster insights

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.

Case Study: PerceptIn Robotics Gets a Cloud Performance Boost with Alluxio

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.

Case Study: Scalable Genomics Data Processing Pipeline with Alluxio

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.