JuiceFS Cloud Service

JuiceFS is a distributed file system, and JuiceFS Cloud Service is a SaaS (Software as a Service) provided by Juicedata. It is built on top of the JuiceFS open source project but adds a series of powerful features tailored for enterprise customers. At the core of these enhancements is the JuiceFS Enterprise Edition, which consists of a high-performance proprietary metadata engine built for extreme performance and efficiency. JuiceFS Cloud Service employs a pay-as-you-go pricing model. In addition, JuiceFS Enterprise Edition can be deployed privately (i.e., within your on-premises data center, private cloud, or public cloud) to meet your storage needs at different business stages. Refer to our pricing plans for more details.

JuiceFS separates data and metadata storage. Files are split into chunks and stored in object storage like Amazon S3, while their metadata (i.e., directories, file names) is stored in our JuiceFS Enterprise metadata engine.

JuiceFS provides rich APIs for managing, analyzing, archiving, and backing up data. It works smoothly with big data, machine learning, artificial intelligence, and other software platforms without requiring changes to application code, delivering massive, elastic, and high-performance storage at a low cost.

Features

• POSIX Compatible: JuiceFS can be used like a local file system. It has completely passed the pjdfstest for verifying POSIX compatibility and has also passed the Linux Test Project for assessing Linux software reliability with a success rate of over 99%, making integration with existing applications easy.
• Distributed: JuiceFS itself is a distributed system by design (see Architecture for more details). This gives it strong scalability, allowing you to use it seamlessly in distributed environments. Each file system can be mounted on thousands of servers at the same time with high-performance concurrent reads and writes on shared data.
• Cloud-Native: JuiceFS is also a cloud-native system that can run on object storage in any public or private cloud. In your cloud environment, it is easy to use JuiceFS in Kubernetes via the CSI Driver.
• HDFS Compatible: JuiceFS offers the Hadoop ecosystem stronger metadata performance, easier scaling, and a more manageable architecture through its Hadoop Java SDK.
• S3 Compatible: JuiceFS provides an S3 Gateway so that you can access the underlying object storage service directly using familiar S3 APIs.
• Strong Consistency: Any committed changes in files will be visible on all servers immediately (see Consistency).
• Outstanding Performance: JuiceFS delivers latency as low as a few milliseconds and near-unlimited throughput, scaling seamlessly with your object storage. Meanwhile, JuiceFS' sophisticated multi-level caching mechanism delivers performance several times higher than object storage (see Performance).
• Data Security: JuiceFS supports encryption in transit and encryption at rest (see Data Encryption).
• File Lock: JuiceFS supports BSD lock (flock) and POSIX lock (fcntl).
• Data Compression: JuiceFS supports LZ4 and Zstandard compression algorithms to save storage space.

Use cases

JuiceFS Enterprise Edition and Cloud Service are designed for massive data storage and can be used as an alternative to many distributed file systems and network file systems, especially for the following use cases:

• Artificial Intelligence & Machine Learning: By providing a POSIX-compatible, high-performance shared storage layer for AI/ML workflows, JuiceFS Enterprise Edition and Cloud Service support hundreds of billions of files in a single volume, deliver millisecond-level metadata latency, and scale to TB-scale read throughput, significantly accelerating model training and inference across distributed GPU clusters.
• Multi-Cloud & Hybrid Cloud: JuiceFS is cloud-agnostic, supporting unified data access across public clouds and on-premises environments. It can automatically sync data across different regions while keeping local access fast, which enables scenarios like training across clouds, recovering from disasters, and making quick inferences with less data usage.
• Big Data Analytics: JuiceFS is fully compatible with HDFS and mainstream computing engines like Spark, Presto, and Hive. It offers a scalable, cost-effective alternative to traditional HDFS, with stronger metadata performance, strong consistency, and seamless integration with object storage, helping teams avoid the operational complexity of HDFS federation.
• Kubernetes: JuiceFS provides a native CSI Driver for Kubernetes, supporting the ReadWriteMany access mode. It enables stateless application architectures, efficient data sharing across pods, and enterprise-grade scalability. You can manage data for thousands of nodes in high-load AI training, LLM development, and other containerized workloads.
• Data Sharing & Backup: It is easy to back up all kinds of data in JuiceFS as a scalable storage space without limitation. Combined with its shared mount feature, data from multiple hosts can be aggregated into one place and then backed up together, reducing complexity and simplifying operations.

Data security and compliance

JuiceFS Cloud Service is SOC 2 compliant, which means it meets the standards for managing customer data based on security, availability, processing integrity, confidentiality, and privacy. JuiceFS Cloud Service maintains strong security practices, with controls independently validated to protect your data.

If you would like to obtain our compliance report, please email us at [email protected].