ADVANCED ANALYTICS & AI ON REMOTE DATA FOR HYBRID AND MULTI-CLOUD

Open Source Data Orchestration for the Cloud

Alluxio announces record revenue growth of 650% in first half of the year

Read the press release >

Check out the Alluxio 101 webinar to learn about how Alluxio can supercharge your analytics and AI workloads in the cloud

Register here >

Alluxio enables compute

Data locality

Bring your data close to compute.
Make your data local to compute workloads for Spark caching, Presto caching, Hive caching and more.

Data Accessibility

Make your data accessible.
No matter if it sits on-prem or in the cloud, HDFS or S3, make your files and objects accessible in many different ways.

Data On-Demand

Make your data as elastic as compute.
Effortlessly orchestrate your data for compute in any cloud, even if data is spread across multiple clouds.

“zero-copy” burst user spotlight: walmart

Why Walmart chose Alluxio’s “Zero-Copy” burst solution:

  • No requirement to persist data into the cloud
  • Improved query performance and no network hops on recurrent queries 
  • Lower costs without the need for creating data copies

See more on how Alluxio powers Walmart’s “zero-copy” burst solution in their presentation >

Featured Use Cases and Deployments

Managing data copies/app changes when bursting compute to cloud?

Zero-copy hybrid bursting with no app changes to intelligently make remote data accessible in the public cloud.

Expanding compute capacity across geo-distributed data centers?

Zero-copy bursting across data centers for Presto, Spark, and Hive with no app changes on data stored in HDFS.

Interact with Alluxio in any stack

Pick a compute. Pick a storage. Alluxio just works.

Tutorial –> Full Docs –>

-- Pointing Table location to Alluxio 
CREATE SCHEMA hive.web
WITH (location = 'alluxio://master:port/my-table/‘)

Full Docs

// Using Alluxio as input and output for RDD
scala> sc.textFile("alluxio://master:19998/Input")             
scala> rdd.saveAsTextFile("alluxio://master:19998/Output")

// Using Alluxio as input and output for Dataframe
scala> df = sqlContext.read.parquet("alluxio://master:19998/Input.parquet")
scala> df.write.parquet("alluxio://master:19998/Output.parquet”)

Full Docs

-- Pointing Table location to Alluxio
hive> CREATE TABLE u_user (
userid INT,
age INT)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '|'
LOCATION 'alluxio://master:port/table_data';

Full Docs

Create and Query table stored in Alluxio
hbase(main):001:0> create 'test', 'cf'
hbase(main):002:0> list ‘test'

Full Docs

# Running a wordcount using Alluxio as input and output
$ bin/hadoop jar hadoop-mapreduce-examples-2.7.3.jar wordcount \
  -libjars /<ALLUXIO_HOME>/client/alluxio-<VERSION>-client.jar \
  alluxio://master:19998/wordcount/input.txt \ 
  alluxio://master:19998/wordcount/output

Full Docs

# Accessing Alluxio after mounting Alluxio service to local file system
$ ls /mnt/alluxio_mount
$ cat /mnt/alluxio_mount/mydata.txt
ALLUXIO
$ ./bin/alluxio fs mount \
--option aws.accessKeyId=<AWS_ACCESS_KEY_ID> \
--option aws.secretKey=<AWS_SECRET_KEY_ID> \
alluxio://master:port/s3 s3a://<S3_BUCKET>/<S3_DIRECTORY>

Full Docs

$ ./bin/alluxio fs mount \
alluxio://master:port/hdfs hdfs://namenode:port/dir/

Full Docs

$ ./bin/alluxio fs mount \
--option
fs.azure.account.key.<AZURE_ACCOUNT>.blob.core.windows.net=<AZURE_ACCESS_KEY> \
alluxio://master:port/azure 
wasb://<AZURE_CONTAINER>@<AZURE_ACCOUNT>.blob.core.windows.net/<AZURE_DIRECTORY>/

Full Docs

$ ./bin/alluxio fs mount \
--option fs.gcs.accessKeyId=<GCS_ACCESS_KEY_ID> \
--option fs.gcs.secretAccessKey=<GCS_SECRET_ACCESS_KEY> \
alluxio://master:port/gcs gs://<GCS_BUCKET>/<GCS_DIRECTORY>

Full Docs

$ ./bin/alluxio fs mount \
--option aws.accessKeyId=<AWS_ACCESS_KEY_ID> \
--option aws.secretKey=<AWS_SECRET_KEY_ID> \
--option alluxio.underfs.s3.endpoint=http://<rgw-hostname>:<rgw-port> \
--option alluxio.underfs.s3.disable.dns.buckets=true \
alluxio://master:port/ceph s3a://<S3_BUCKET>/<S3_DIRECTORY>

Full Docs

$ ./bin/alluxio fs mount alluxio://master:port/nfs /mnt/nfs
 
 
 
 
 

Full Docs

Announcing Alluxio 2.0! Learn more about the release >

powered by alluxio

What’s Happening

Blog
Building a high-performance platform on AWS to support real-time gaming services using Presto and Alluxio

This blog explores an innovative platform with Presto as the computing engine and Alluxio as a data orchestration layer between Presto and S3 storage, to support online services with instantaneous response within the gaming industry. The preliminary results show that Presto with Alluxio outperforms S3 significantly in all cases.Alluxio with metadata caching shows up to 5.9x performance gain when handling large numbers of small files.

Blog
Reducing large S3 API costs using Alluxio

This article described how engineers at datasapiens brought down S3 API costs by 200x by implementing Alluxio as a data orchestration layer between S3 and Presto.

Blog
Running Presto in a Hybrid Cloud Architecture

Migrating SQL workloads from a fully on-premise environment to cloud infrastructure has numerous benefits, including alleviating resource contention and reducing costs by paying for computation resources on an on-demand basis. In the case of Presto running on data stored in HDFS, the separation of compute in the cloud and storage on-premises is apparent since Presto’s … Continued

Press Release
Alluxio Recognized by CRN, Data Breakthrough Awards and InsideBIGDATA

Alluxio, the developer of open source cloud data orchestration software, today announced it has been named to the Computer Reseller News (CRN) Big Data 100 list – “The Coolest Data Management and Integration Tool Companies,” chosen a 2020 Data Breakthrough Awards “Best Data Access Solution of the Year” winner, and awarded an honorable mention on InsideBIGDATA “IMPACT 50 List for Q2 2020.”