Data Sheet

Simplify Data Access Across Data Centers, Regions, Or Clouds With Alluxio

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When you start to scale your data platform as your business needs evolve, you are likely to come across the following scenarios:

  • IMPLEMENTING HYBRID OR MULTI-CLOUD
  • With either cloud applications accessing data stored on-premises or with data stored in the cloud and applications running locally.
  • ONBOARDING NEW APPLICATIONS
  • Building new data-driven applications which require accessing geo-distributed data and expanding the platform to new application teams.
  • ADOPTING A NEW DATA ARCHITECTURE
  • Whether it is all in a single cloud, across multiple clouds, or implementing a data mesh, data lake, or data fabric.
  • MIGRATING OFF OF LEGACY SYSTEMS
  • Migrating from Hadoop to a modern data stack that is architected to run natively in the cloud.

ALLUXIO ADDRESSES ALL YOUR DATA PLATFORM NEEDS WITH LOWER TCO

Data access across data centers, regions or clouds

Application portability with a consistent experience across data silos 

Tenant isolation when platform expands to new application teams

MEET ALLUXIO DATA ORCHESTRATION PLATFORM

  • A data layer that sits between storage and compute engines
  • Optimized for large scale analytics and AI workloads
  • Virtualizes across all data sources
  • Environment agnostic solution
  • Runs in the cloud, on-premises, bare metal, or containerized
  • Open source Community Edition as well as Enterprise Edition with added features such as enterprise security and support

Customer case studies:

CROSS-REGION FEDERATION IN THE CLOUD
WITH EXPEDIA GROUP

Expedia Group is an American online travel shopping company with 20+ brands. The central data lake has migrated to the cloud with legacy brand data lakes remaining in other cloud regions, creating data silos. Cross-region data access is expensive. Replicating data to the central data lake was slow, error-prone and costly. 

Expedia Group has implemented Alluxio to federate cross-region data lakes. Alluxio unifies geo-distributed data silos without replication, enabling consistent and high performance with ~50% reduced costs.

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HYBRID AND MULTI-CLOUD MIGRATION WITH FORTUNE 50 TECH COMPANY

A Fortune 50 technology company serves over 1 billion users worldwide. This tech giant is migrating from all-on-premises to hybrid-cloud infrastructure. However, its on-premises applications could not directly run on S3 data, hindering its cloud migration journey.  

Alluxio brings unified data access across hybrid-cloud. Applications have gained portability with a consistent experience across data lake storage silos. This company has gained agility to deploy its applications and compute capacity to any environment based on cost and operational overhead, achieving a true hybrid and multi-cloud architecture.

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DATA PIPELINING IN HYBRID CLOUD WITH RAKUTEN



Rakuten is a global leading internet company with 70+ services and billions of users. Rakuten data platform requires data availability throughout the data pipeline across multiple environments, including HDFS to GCS, HDFS for consumers in both on-prem Hadoop and GCP.

Alluxio has helped Rakuten to achieve data federation across multiple private data centers and public cloud. Alluxio sits between compute and storage and has enabled the separation of storage and compute. Data analytic applications can now access data silos with Alluxio through a single data API.

DOWNLOAD THE WHITEPAPER TO LEARN MORE ABOUT THE TOP FIVE USE CASES FOR ALLUXIO

  • Achieve consistent SLAs and cost savings in a single cloud
  • Speed-up analytics on on-prem object stores
  • Burst compute to a public cloud and gradually migrate
  • Hybrid cloud gateway to utilize on-prem compute for data in the cloud
  • Cross data center access without changing ingest pipelines across regions