Oct 27th, 2017
Many organizations deploy Alluxio together with Spark for performance gains and data manageability benefits. In this blog post, we investigate how Alluxio helps Spark be more effective. Alluxio increases performance of Spark jobs, helps Spark jobs perform more predictably, and enables multiple Spark jobs to share the same data from memory. Previously, we investigated how Alluxio is used for Spark RDDs. In this article, we investigate how to effectively use Spark DataFrames with Alluxio.
May 2nd, 2017
For business to not just survive — but to flourish — it’s become imperative to make decisions with near immediacy, continuously pivot strategy and tactics, and merge streams of inquiries into meaningful action. Executing requires high-frequency insights — the competitive advantage in today’s frenetic business landscape. Together with Alluxio, Inc., we enable businesses to gain the competitive advantage with faster time to insights with our integrated solution of Cray high-performance analytics platform and Alluxio’s memory-speed virtual storage system — Alluxio Enterprise Edition.
Feb 11th, 2017
Alluxio, ￼￼￼￼￼formerly Tachyon, is the world's first system which unifies data at memory speeds while achieving affordability through Alluxio's innovative tiered storage functionality. This Samsung whitepaper shows how Alluxio’s storage can be used with different storage media available in systems including NVME SSDs while providing in‐line performance consistent with the speed of the underlying storage media. Alluxio provides the capability to leverage all the storage that is available in a system.
Oct 15th, 2016
Understand the benefits Alluxio brings to analytics on object storage.
- Derive timely insights from data with memory-speed access
- Enable data sharing between applications without sacrificing performance
- Reduce costs with efficient memory utilization
Sep 4th, 2016
Learn how Alluxio is used in clusters with co-located compute and storage to
improve two key metrics of Data Analytics Clusters:
· Performance predictability allowing SLAs to be met more easily.
· Up to 10x improved performance.
Aug 28th, 2016
In this article, we show by saving RDDs in Alluxio, Alluxio can keep larger data
sets in-memory for faster Spark applications, as well as enable sharing of RDDs
across separate Spark applications.
Aug 18th, 2016
This whitepaper consists of two portions. The first is a high level overview of the
advantages of using Alluxio as a core technology with on-demand clusters. The
second portion is intended for engineers; it provides a detailed step-by-step guide to
deploying an on-demand cluster with Alluxio and instructions for running a sample
workload on the cluster. At the end of the paper you will have a good understanding
of how to deploy this architecture and the value Alluxio brings to the stack.
Apr 22nd, 2016
The exponential growth of the raw computational power, communication bandwidth, and storage capacity results in continuous innovation in how data is processed and stored. To address the evolving nature of the compute and storage landscape, we are continuously advancing Alluxio, a state-of-the-art memory-centric virtual distributed storage system.