Office Hours #11 – How to Choose the Right Metadata Engine for JuiceFS

​Choosing the right metadata engine when deploying JuiceFS is one of the most critical (and sometimes confusing) decisions. In JuiceFS, file data is stored in object storage, while metadata is managed by a separate metadata engine.

​With support for Redis, TiKV, PostgreSQL, MySQL, SQLite, and many more, each engine has different trade-offs in performance, scalability, consistency, durability, and operational complexity. Metadata engine selection is therefore less about finding a universally "best" option and more about matching the engine to the workload, scale, and operational requirements of each deployment.

​In this session, we will demystify JuiceFS metadata engines and provide a practical framework for matching them to your real-world workloads.

​Agenda

• ​17:00 – 17:15 PST | JuiceFS Architecture Recap + Metadata Engine Landscape

• ​17:15 – 17:35 PST | Choose the Right Engine for Your Workload

• ​17:35 – 17:45 PST | Live Q&A – Ask the JuiceFS Team Anything

​Speaker: Qing Jiang, Juicedata Engineer

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​JuiceFS  Office Hours

​The JuiceFS Office Hours is a recurring online event held on the fourth Thursday of each month. It serves as a dedicated platform for JuiceFS users and community members to:

• ​Share our practices and community experiences in the AI field

• ​Receive immediate responses to their questions from the JuiceFS team

• ​Learn about the latest product updates and feature releases

​About JuiceFS
JuiceFS is an open-source, high-performance distributed file system for the cloud. With full POSIX compatibility, it turns object storage into massive local disks across platforms and regions, and is widely used in AI applications like autonomous driving, generative AI, quant research, and biotech.