JuiceFS
Claim this toolA high-performance, cloud-native, distributed file system for elastic and scalable storage.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Highly scalable for billions of files and petabytes of data
Biggest con
Advanced features like higher availability SLAs and enterprise-grade support are in paid versions
TL;DR - JuiceFS
- High-performance, cloud-native distributed file system.
- Supports POSIX, HDFS, and S3 protocols for versatile access.
- Separates data and metadata for elastic scalability and cost-effectiveness.
Pricing: Free plan available
Best for: Growing teams
What is JuiceFS?
JuiceFS is an open-source distributed file system designed for cloud environments, offering high performance, cost-effectiveness, and multi-protocol compatibility. It separates data and metadata, allowing users to leverage cost-efficient object storage for data while using various open-source databases (like Redis, PostgreSQL, TiKV) or a proprietary distributed metadata service for metadata management. This architecture enables independent scaling of data and metadata components, addressing data hotspots and supporting billions of files.
It is built for developers and organizations seeking a flexible and scalable storage solution for diverse applications, including AI/Machine Learning, Big Data, and Kubernetes data persistence. JuiceFS supports POSIX, HDFS, and S3 protocols, making it suitable for both new application development and seamless migration of existing workloads. It caters to public clouds, hybrid setups, and multi-cloud scenarios, facilitating automatic data replication and resilient architectures. The Community Edition is open-source under the Apache 2.0 license, while Cloud Service and Enterprise Edition offer additional features like higher availability SLAs, advanced metadata engines, and professional support.
Available on: Linux
Pros & Cons
Pros
- Highly scalable for billions of files and petabytes of data
- Cost-effective by utilizing object storage with high performance
- Versatile protocol support allows broad application compatibility
- Cloud-native design supports multi-cloud and hybrid environments
- Open-source Community Edition provides flexibility and community support
Cons
- Advanced features like higher availability SLAs and enterprise-grade support are in paid versions
- Requires understanding of distributed systems and metadata engine choices for optimal setup
- Community Edition metadata throughput is lower than Cloud/Enterprise Editions
Key Features
Data-metadata separated architectureSupports various open-source metadata engines (Redis, TiKV, MySQL, PostgreSQL, FoundationDB)High-performance distributed metadata service (Cloud/Enterprise Editions)Elastic and scalable throughput with distributed cachingCompatible with POSIX, HDFS, and S3 protocolsCloud-native for public, hybrid, and multi-cloud scenariosAutomatic data replication across clouds and regionsBuilt-in observability tools for system monitoring
Pricing Plans
Pricing checked Jul 9, 2026
Community Edition
Free
- Open Source
- Elastic, Multi-Cloud
- Compatible with POSIX, HDFS, and S3 Protocols
- Data-metadata separated architecture
- Supports various open-source storage engines (Redis, PostgreSQL, TiKV)
- Elastic and scalable throughput
- In-house metadata handles millions of requests per second
- Cost-effective object storage with distributed caching
Cloud Service
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Enterprise Edition
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Reviews
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JuiceFS FAQ
How does JuiceFS support AI/Machine Learning workloads?
JuiceFS provides a high-performance, cloud-native distributed file system that is well-suited for the demanding storage needs of AI/Machine Learning applications. Its architecture allows for independent scaling of data and metadata, which helps manage data hotspots common in large-scale machine learning tasks. It also supports various protocols like POSIX, HDFS, and S3, ensuring compatibility with existing ML frameworks and tools.
How does JuiceFS compare to Google Cloud Storage for distributed file system capabilities?
JuiceFS offers multi-protocol compatibility (POSIX, HDFS, S3) and separates data and metadata, allowing users to leverage cost-efficient object storage while choosing their preferred metadata engine. Google Cloud Storage is primarily an object storage service, whereas JuiceFS provides a full distributed file system layer on top of object storage, offering POSIX compatibility for diverse applications.
What kind of user or team benefits most from JuiceFS?
JuiceFS is best suited for developers and organizations that require a flexible, scalable, and cost-effective storage solution for cloud environments. Teams working on AI/Machine Learning, Big Data, or Kubernetes data persistence will find its features particularly beneficial. It supports both new application development and the migration of existing workloads across public, hybrid, and multi-cloud scenarios.
What are the main trade-offs when choosing the Community Edition of JuiceFS?
The Community Edition of JuiceFS, while open-source and flexible, has some trade-offs compared to paid versions. It offers lower metadata throughput than the Cloud Service or Enterprise Edition. Additionally, advanced features like higher availability SLAs and enterprise-grade professional support are exclusive to the paid offerings.
How is JuiceFS priced?
JuiceFS is available on a free tier, allowing users to get started without initial cost. For more extensive usage and additional features, paid plans are offered. These paid plans provide enhanced capabilities and support beyond the Community Edition.
Can JuiceFS be used in multi-cloud environments?
Yes, JuiceFS is designed with cloud-native principles and explicitly supports multi-cloud and hybrid environments. Its architecture facilitates automatic data replication and resilient architectures across different cloud providers. This flexibility allows organizations to avoid vendor lock-in and optimize storage costs.
Which protocols does JuiceFS support for data access?
JuiceFS offers broad application compatibility by supporting multiple industry-standard protocols. It provides access via POSIX, HDFS, and S3 protocols. This allows it to integrate seamlessly with a wide range of existing applications and tools, from traditional file system operations to big data processing and cloud-native services.
Source: juicefs.com