
JuiceFS is an open-source, distributed POSIX file system designed for cloud environments. It features a data-metadata separated architecture, supporting various storage engines like Redis, PostgreSQL, and TiKV, and offers a proprietary distributed metadata service. JuiceFS excels in high performance with elastic scalability, capable of handling millions of metadata requests per second with microsecond latency. It is cost-effective, allowing the use of object storage with distributed caching. The system is versatile, fully supporting POSIX, HDFS, and S3 protocols for seamless integration and migration of existing applications. Its cloud-native design caters to public, hybrid, and multi-cloud scenarios, facilitating automatic data replication for resilient architectures. JuiceFS Community Edition is open-source under the Apache 2.0 license. Key solutions include AI/Machine Learning, Big Data, and Kubernetes Data Persistence. The company behind JuiceFS is Juicedata.

JuiceFS is an open-source, distributed POSIX file system designed for cloud environments. It features a data-metadata separated architecture, supporting various storage engines like Redis, PostgreSQL, and TiKV, and offers a proprietary distributed metadata service. JuiceFS excels in high performance with elastic scalability, capable of handling millions of metadata requests per second with microsecond latency. It is cost-effective, allowing the use of object storage with distributed caching. The system is versatile, fully supporting POSIX, HDFS, and S3 protocols for seamless integration and migration of existing applications. Its cloud-native design caters to public, hybrid, and multi-cloud scenarios, facilitating automatic data replication for resilient architectures. JuiceFS Community Edition is open-source under the Apache 2.0 license. Key solutions include AI/Machine Learning, Big Data, and Kubernetes Data Persistence. The company behind JuiceFS is Juicedata.
Product: JuiceFS — open-source, cloud-native distributed POSIX file system
Founded: April 2017
Headquarters: Emeryville, California
Open source license: Apache 2.0 (Community Edition)
Use cases: AI/ML, Big Data, Kubernetes data persistence
Cloud-native storage for scalable, shared file-system needs in big data and AI workloads.
2017
Storage / Cloud Infrastructure
Seed round with investors including Zheng Shao, Foothill Ventures, and China Growth Capital.
Most recent disclosed funding round closed on 2018-10-12.
“China Growth Capital; Foothill Ventures; individual investor Zheng Shao”