Two Sigma Case Study – Cloud bursting with Spark for on-premise Hadoop

Two Sigma, a leading hedge fund with more than $50 billion under management, turned to Alluxio for help with bursting Spark workloads in a public cloud to enable hybrid workloads for on-premise HDFS. With Alluxio, Two Sigma sees better performance, increased flexibility and dramatically lower costs with the number of model runs per day increased by 4x and the cost of compute reduced by 95%.

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

TalkingData’s largest data broker, provides data intelligence solutions and processes over 20 terabytes of data and more than one billion session requests per day. TalkingData deployed Alluxio to unify disparate cloud, on-premise, and hybrid data sources for a range of analytics applications. The architecture provides self-service data access for data scientists and engineers, eliminating the … Continued

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

Myntra, a division of Flipkart, is a leading fashion retailer in India offering customers a wide range of merchandise through a mobile application. An analytics pipeline in Amazon Web Services (AWS) cloud processes customer data to make recommendations, present ads, and deliver other aspects of a tailored experience. Myntra deployed Alluxio to provide a virtual … Continued

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Hedge Fund Improves Machine Learning Model Performance 4X with Alluxio

Quantitative hedge funds process large data sets with sophisticated financial models to drive investment decisions. Machine Learning is used to continuously improve models and maximize financial return. One firm with billions ($US) of assets under management turned to Alluxio to address the performance and cost challenges of large scale data processing in a hybrid cloud … Continued

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

Lenovo is the world’s largest personal computer vendor and one of the world’s largest smartphone vendors. The company has invested extensively in global information technology infrastructure, including ten data centers worldwide collecting petabytes of smartphone data. Analyzing data located in multiple data centers world-wide is critical for Lenovo to understand and improve the usability and … Continued

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Scalable Genomics Data Processing Pipeline with Alluxio, Mesos, and Minio

By leveraging Alluxio, Mesos, Minio, and Spark we have created an end-to-end data processing solution that is performant, scalable, and cost optimal. We use Alluxio as the unified storage layer to connect disparate storage systems and bring memory performance, with Minio mounted as the under store to Alluxio to keep cold (infrequently accessed) data and to sync data to AWS S3. Apache Spark serves as the compute engine.

Qunar Performs Real-Time Data Analytics up to 300x Faster with Alluxio

At Qunar, we have been running Alluxio in production for over 9 months, resulting in 15x speedup on average, and 300x speedup at peak service times. In addition, Alluxio’s unified namespace enables different applications and frameworks to easily interact with our data from different storage systems.