The startup offers a public cloud storage software that transforms object storage into a standard file system interface, enabling users to read, write, and sync data across devices. This solution allows businesses to efficiently manage large datasets in the cloud while ensuring cost-effectiveness and data security.
Funding
$800K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Managing large datasets in the cloud often requires complex configurations and specialized knowledge, making it difficult for organizations to leverage cloud storage efficiently. Traditional file systems are not designed for the scalability and elasticity of cloud environments, leading to performance bottlenecks and increased costs.
Solution
JuiceFS is a distributed POSIX file system built for cloud-native environments, enabling users to manage object storage as a standard file system. It separates data and metadata, storing data in object storage services like Amazon S3 while managing metadata in databases such as Redis or TiKV. This architecture allows for seamless integration with big data, machine learning, and AI applications, providing high-performance, scalable storage without code modifications. JuiceFS supports multiple access protocols, including POSIX, HDFS, and S3, ensuring compatibility with existing applications and workflows.
Target Audience
JuiceFS targets organizations dealing with large-scale data processing, including those in big data analytics, machine learning, artificial intelligence, and cloud-native application development.
Features
- Fully POSIX-compatible file system interface for seamless integration with existing applications
- Hadoop Java SDK for compatibility with Hadoop 2.x and 3.x ecosystems
- S3 Gateway providing an S3-compatible interface for object storage access
- Kubernetes CSI Driver for easy deployment and management in Kubernetes environments
- Shared file storage accessible by thousands of clients concurrently
- Strong consistency ensuring immediate visibility of data modifications across all clients
- High throughput and low latency performance optimized for cloud environments
- Data encryption in transit and at rest for enhanced security
- Global file locks supporting both BSD locks (flock) and POSIX record locks (fcntl)
- Data compression using LZ4 or Zstandard algorithms to reduce storage costs
- Support for various metadata engines, including Redis, TiKV, MySQL, and PostgreSQL
- Compatibility with numerous object storage services, including Amazon S3, Google Cloud Storage, Azure Blob Storage, and more