This whitepaper details how to leverage any public cloud (AWS, Google Cloud Platform, or Microsoft Azure) to scale analytics workloads directly on on-prem data … Continued
HYBRID CLOUD ANALYTICS
FEATURED USE CASE
Can’t burst Hadoop HDFS in your hybrid cloud environment? With Alluxio, simplify Hadoop for hybrid cloud data storage by making on-premise Hadoop accessible to any compute in any cloud.
CAN ANALYTICS DATA IN THE CLOUD ACCESS YOUR ON-PREM HDFS?
Making Hadoop HDFS accessible site to cloud is complex.
Accessing data over WAN is too slow
Copying data via DistCP from on-prem to cloud means maintaining duplicate data
Using other storage systems like S3 means expensive application changes
Using S3 via the Hadoop HDFS connector leads to extremely low performance
The growing amount of data and queries makes it hard to scale on-prem HDFS clusters
burst analytics workloads in hybrid cloud environments with alluxio
Enable efficient data access and create high performance hybrid cloud data analytics and storage systems.
Deploy Alluxio + compute in the cloud and on-premise HDFS
Deploy Alluxio + compute on-premise and S3 in the cloud
Integrate on-prem data stores like HDFS with Alluxio and get high performance in your hybrid cloud environment, with all of your I/O offloaded. Burst your analytics workloads into the cloud on-demand, when you need it.
Want help making your on-prem HDFS accessible to compute in the cloud? Schedule a meeting with an Alluxio solutions engineer.
alluxio in your hybrid cloud environment
Get started with Alluxio and HDFS today.
alluxio with hdfs
Configure Alluxio with HDFS as the under storage system in three steps.
alluxio with multiple hdfs
Mount multiple HDFS clusters as under storage to a single Alluxio namespace.
configuring alluxio + hdfs in the public cloud
Alluxio works with any public cloud to provide an enterprise hybrid cloud analytics strategy to burst compute that spans on-prem and cloud data stores. By bringing the data to the analytics and machine learning applications, the performance is the same as having the data co-located in the cloud. Plus, the on-prem data stores will have offloaded the computation and minimized the additional I/O overhead.
alluxio in google cloud
Configure Alluxio in Google Cloud with on-premise HDFS
alluxio in aws
Configure Alluxio in AWS with on-premise HDFS
alluxio in azure
Configure Alluxio in Azure with on-premise HDFS
LATEST RELATED POSTS
As the data ecosystem becomes massively complex and more and more disaggregated, data analysts and end users have trouble adapting and working with hybrid environments. The proliferation of compute applications along with storage mediums leads to a hybrid model that we are just not accustomed to.
With this disaggregated system data engineers now come across a multitude of problems that they must overcome in order to get meaningful insights.