AI Potluck
Infrastructure / Storage & Retrieval

JuiceFS

Juicedata

JuiceFS is a POSIX-compatible distributed file system that stores file data in object storage such as Amazon S3 while keeping metadata in a separate database engine - Redis, MySQL or TiKV among them. Training and analytics jobs mount it and read cloud storage as files without code changes. Juicedata develops it.

Verified 2026-08-18 via the GitHub API and the LICENSE body.

Openness

5 high confidence
5.0
license
Apache-2.0(OSI)
source
public
core-gated
ungated

Apache-2.0 license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

Adoption

3 low confidence
3.0

14,334 GitHub stars, which lands in the >10K stars band of the stars scale, level 3. The `juicefs` package on PyPI is a third-party Python SDK published from another organization's repository and drawing under 200 downloads a month; it is not this product's distribution channel, which is a Go binary and a CSI driver. The stars scale therefore applies, capped at 3.

Capability

4 medium confidence
4.0

Banded on the category feature matrix as complete retrieval system, distributed or cluster-capable. Placed one band below the vespa anchor, on a matrix that bands on how much of the persist-index-retrieve path a product provides itself, at what scale and over how many retrieval modes.

  • https://github.com/juicedata/juicefs/blob/main/README.md recorded 2026-08-18

    README still documents a high-performance POSIX file system for cloud-native environments that persists data in object storage such as Amazon S3 and metadata in Redis, MySQL or TiKV, released under Apache-2.0.

Verified 2026-08-18