devops

Flexible metadata engine options for your application needs

JuiceFS supports using various open-source databases as the metadata engine, including Redis, TiKV, MySQL/MariaDB, PostgreSQL, and FoundationDB, giving you the flexibility to choose the right one for your specific requirements.

formats

Multi-protocol compatibility for storing diverse application data

JuiceFS is fully compatible with POSIX, HDFS, S3, WebDAV, and other protocols, providing a unified storage solution for unstructured data (i.e., media files and logs), semi-structured data (i.e., JSON and Parquet), and structured data (i.e., data warehousing), unlocking diverse workloads such as AI training, complex data computing, and real-time analytics on a single platform.

wordload

Empowered with observability tools to streamline system monitoring

JuiceFS offers a suite of built-in tools to help you monitor system operation. From assessing system availability and resource status to enhancing user experience, you can explore and analyze the performance of your services and applications running on JuiceFS easily.

How to contribute to JuiceFS community

  • Create GitHub Issue

    If you encounter any problems when using JuiceFS, or find bugs in the code or documentation, please create an issue.

  • Create GitHub Pull Request

    If you find any bugs in the code, or documentation, or want to contribute a new feature, please feel free to create a pull request. Before creating a pull request, please read the contribution guidelines carefully.



Join the Community

The ease of use and high performance of JuiceFS improve the performance of Zhihu's Flink data platform, and the Zhihu technical team will continue to explore JuiceFS in more scenarios and participate in the community.
Yuqing Bai

Head of Infrastructure, Zhihu

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