devops

Multi-protocol compatibility for storing diverse application data

JuiceFS is fully compatible with POSIX, HDFS, and S3 access protocols, making it ideal for unified storage of unstructured, semi-structured, and data warehousing.

formats

Flexible metadata engine options for your application needs

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

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 delve deep and analyze the performance of your business services and applications.

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.

Shopee x JuiceFS: ClickHouse Data-Tiering Practice

"JuiceFS helps Shopee ClickHouse stores hot and cold data separated via TTL policy automate, we don't need to scale the cluster at 2:00 AM anymore and reduce TCO significantly."

Teng, Shopee Data Infra team

Join the Community

The ease of use and high performance of JuiceFS improves 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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