In this online presentation, we present how ING is leveraging Presto (interactive query), Alluxio (data orchestration & acceleration), S3 (massive storage), and DC/OS (container … Continued
accelerated workloads for object stores
featured use case
Are analytic workloads on your on-prem object stores not fast enough? With Alluxio, accelerate Spark, Presto, Tensorflow, and other analytics framework workloads for your object stores.
are analytics workloads slow on your object store?
Running compute on top of on-premise object stores comes with its own set of challenges.
Performance is variable and consistent query SLAs are hard to achieve
No native support for popular frameworks like Presto, Spark, Tensorflow, and more
Expensive metadata operations reduce already degraded performance
No direct support for hybrid environments
alluxio accelerates analytics workloads for your on-prem object store
Dramatically speed up your Spark, Presto, Tensorflow, and other analytics frameworks on your object store with Alluxio.
Get the same performance as HDFS and use HDFS APIs with Alluxio in your object store stack. Integrate with many object stores including AWS S3, Azure Blob Store, Google Cloud Storage, Ceph, GlusterFS, Minio, SwiftStack, Cleversafe, Dell EMC ECS, and more.
Want help getting your analytics workloads faster on object storage? Schedule a meeting with an Alluxio solutions engineer.
alluxio on object storage
Alluxio integrates with many object stores. Get started today.
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Alluxio is an open-source data orchestration system widely used to speed up data-intensive workloads in the cloud. Alluxio v2.0 introduced Replicated Async Write to allow users to complete writes to Alluxio file system and return quickly with high application performance, while still providing users with peace of mind that data will be persisted to the chosen under storage like S3 in the background.
As the amount of data being collected and analyzed by Enterprises continues to grow unabated, more attention is being placed on managing the cost of storing the data relative to performance. Hadoop provides a scalable and fast way of storing and analyzing data, however, the cost of storing data in Hadoop is typically higher compared to alternative technologies like Object Stores.