Use Cases

JuiceFS for Multi-Zone/Multi-Region Replication

Unlike most cloud providers, JuiceFS allows you to do seamless multi-zone/multi-region data replication across all zones/regions - there are no limits (Amazon EFS has limited region support).

JuiceFS replication is done by the client instances, so it can even backup to zone/regions where you don’t have any compute instances active. Use JuiceFS replication to make hot copies, backups, local caches and more.

JuiceFS for Multi Cloud Replication

JuiceFS not only allows multi-region replication but also extends that across different cloud providers. Give your company instant business continuity ability by replicating data from Amazon to Azure, or Azure to Google Cloud Platform or between any pairs of providers that we support.

JuiceFS for HDFS workloads

Hadoop clusters are an excellent way to scale and process large volumes of data. The current best practice of using HDFS has overhead and limitations that JuiceFS makes obsolete:

  • Lower Storage Cost - JuiceFS doesn’t require 3 times the actual storage to operate. You can setup JuiceFS replication, but unlike HDFS you can operate across the cluster with only the data storage you need (10PB of storage only requires 10PB, not 30PB like HDFS)
  • No stop-the-world garbage collection (GC) on NameNodes - HDFS is written in Java and suffers from stop-the-world garbage collection issues that cause the entire cluster to stop processing at unpredictable times. JuiceFS has no such limitations.
  • No constant capacity management/tuning - HDFS requires a dedicated resource to monitor and manage the up/out scaling of NameNode and DataNodes in the storage cluster. - JuiceFS requires almost no management overhead once its setup
  • No HA management - HDFS requires decisions about automatic or manual failover and recovery - JuiceFS replication, failover and recovery are seamless
  • No expensive Professional Services contracts that price-scale to the size of your cluster - Unlike most HDFS deployments, JuiceFS doesn’t require you to engage with 3rd party service providers to manage your storage clusters. JuiceFS allows you to dedicate your cash and peace of mind to other areas in your stack that require it. We believe, once you set it up, storage shouldn’t be a top-of-mind concern for your business.

JuiceFS for Container Fleets (Kubernetes)

JuiceFS allows you to setup a unified POSIX filesystem that can be seamlessly used across entire fleets of Kubernetes containers or split into multiple filesystems that each address the special use cases of your unique setup.

  • Shared POSIX filesystems for use across clusters/pods
  • Use for primary data processing (HDFS, S3, EBS + fs, etc replacement)
  • Allows you to share the FS instance across all participating OS instances, not limited to a single master instance controlling the filesystem (unlike EBS+fs on Amazon)
  • Consistent metadata allows simplified coordination between cloud OS instances - file metadata like presence, lock status, etc can be relied upon for simpler coordination/coding. No 3rd party coordination or extra queue servers needed for basic file access.
  • Setup and go: unlike other solutions JuiceFS can be setup and it “just works” as your workload and storage scale to Petabytes. JuiceFS will reduce your management overhead and let you dedicate hands-on resources to other parts of your infrastructure. Unlike storage solutions like HDFS, Ceph or homegrown storage platforms, JuiceFS won’t require dedicated resources to keep the system tuned on a frequent basis.

JuiceFS for Data Science

Data Science teams are typically challenged by working around ad-hoc storage infrastructure. Challenges include having to copy TB and PB sized data sets from object/bucket storage into a live filesystem or HDFS. Then execute multiple passes on the data with intermediate results stored on ad-hoc storage.

The ad-hoc nature makes engineering and reproducibility of results a challenge.

JuiceFS for Data Science Highlights:

  • POSIX filesystem (open, read, write, seek, sync, etc) just work, use all the standard file tools you’re used to when developing on your local machine.
  • No special pre-processing of data needed before use by the cluster
  • No expensive multi-terabyte file copies
  • Run directly on data
  • Checkpoints can be stored and managed on the same high-speed data store
  • High throughput (no write limits or per bucket slowdowns)
  • Share and manage results simply

JuiceFS for Business Continuity

One of the bigger challenges with multi-use data stores and large OS cluster management is effective data backup and failover in case of disaster (man-made or nature made). JuiceFS allows you to integrate Business Continuity protection into your infrastructure simply and at very low procedural cost.

Using JuiceFS it is possible to replicate data across any two (or more) regions or any two (or more) cloud providers.

Don’t let a zone outage or a natural disaster keep your production systems from working at full speed.

Instead of taking 20minutes or sometimes hours with other solutions, JuiceFS failover takes only seconds.

  • Continuous transparent backup across Regions/Zones
  • Continuous backup across Cloud Providers
  • Instant Recovery
  • Raw data always available without JuiceFS
  • Compliance Auditing
  • Seamless migration between clouds without changing data processing code
  • Future-proof your data processing and storage pipeline
  • Failover in seconds instead of hours
  • Launch your app directly on JuiceFS - no intermediate data copies needed