---
title: "juicefs vs lakeFS"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/juicedata-juicefs-vs-treeverse-lakefs"
tools: ["juicedata-juicefs", "treeverse-lakefs"]
---

# juicefs vs lakeFS

*GraphCanon updated Aug 3, 2026*

## Verdict

Pick juicefs if distributed POSIX file system leveraging Redis and S3 for metadata and data blocks; pick lakeFS if lakeFS provides Git-like functionality for managing versions of data in a data lake, compatible with storage solutions like S3 and Azure.

[juicefs](https://juicefs.com) reports 14k GitHub stars, 1.3k forks, and 177 open issues, last pushed Aug 3, 2026. [lakeFS](https://docs.lakefs.io) has 5.5k stars, 472 forks, and 437 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [juicefs's repository](https://github.com/juicedata/juicefs) and [lakeFS's repository](https://github.com/treeverse/lakeFS).

| | [juicefs](/tools/juicedata-juicefs.md) | [lakeFS](/tools/treeverse-lakefs.md) |
| --- | --- | --- |
| Tagline | Distributed POSIX file system built on Redis and S3 | Data version control for your data lake |
| Stars | 14,263 | 5,480 |
| Forks | 1,263 | 472 |
| Open issues | 177 | 437 |
| Language | Go | Go |
| Adopt for | Distributed POSIX file system leveraging Redis and S3 for metadata and data blocks. | lakeFS provides Git-like functionality for managing versions of data in a data lake, compatible with storage solutions like S3 and Azure. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Data & Retrieval, Model Training | Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [juicefs](/tools/juicedata-juicefs.md) | [lakeFS](/tools/treeverse-lakefs.md) |
| --- | --- | --- |
| Open issues (now) | 177 | 437 |
| Full report | [trust report](/tools/juicedata-juicefs/trust.md) | [trust report](/tools/treeverse-lakefs/trust.md) |

## Decision facts: juicefs

- **Adopt for:** Distributed POSIX file system leveraging Redis and S3 for metadata and data blocks.

## Decision facts: lakeFS

- **Adopt for:** lakeFS provides Git-like functionality for managing versions of data in a data lake, compatible with storage solutions like S3 and Azure.

## Choose when

### Choose juicefs if…

- Tags unique to juicefs: bigdata, cloud-native, distributed-systems, filesystem.
- Also covers Model Training.
- Require low-latency access to large-scale data sets with object storage backing, such as S3

### Choose lakeFS if…

- Tags unique to lakeFS: apache-spark, aws-s3, azure-blob-storage, data-engineering.
- lakeFS ships Docker support for self-hosted deployment.
- When you need version control for large-scale datasets stored in a data lake, similar to how codebases are managed with Git.

## When NOT to use juicefs

- Seeking a file system solution without the need for a separate metadata management tier like Redis
- Environment lacks suitable object storage compatible with JuiceFS or needs lower-latency metadata operations

## When NOT to use lakeFS

- If your use case involves managing small files or datasets that do not benefit from a Git-like history for data changes due to overhead.
- For situations where compliance requirements preclude open-source solutions or those under the Apache 2.0 license, as lakeFS may not meet these specific needs.

## Common questions

### What is the difference between juicefs and lakeFS?

juicefs: Distributed POSIX file system built on Redis and S3. lakeFS: Data version control for your data lake. See the comparison table for live GitHub stats and shared categories.

### When should I choose juicefs over lakeFS?

Choose juicefs over lakeFS when Tags unique to juicefs: bigdata, cloud-native, distributed-systems, filesystem; Also covers Model Training; Require low-latency access to large-scale data sets with object storage backing, such as S3.

### When should I choose lakeFS over juicefs?

Choose lakeFS over juicefs when Tags unique to lakeFS: apache-spark, aws-s3, azure-blob-storage, data-engineering; lakeFS ships Docker support for self-hosted deployment; When you need version control for large-scale datasets stored in a data lake, similar to how codebases are managed with Git.

### When should I avoid juicefs?

Seeking a file system solution without the need for a separate metadata management tier like Redis Environment lacks suitable object storage compatible with JuiceFS or needs lower-latency metadata operations

### When should I avoid lakeFS?

If your use case involves managing small files or datasets that do not benefit from a Git-like history for data changes due to overhead. For situations where compliance requirements preclude open-source solutions or those under the Apache 2.0 license, as lakeFS may not meet these specific needs.

### Is juicefs or lakeFS more popular on GitHub?

juicefs has more GitHub stars (14,263 vs 5,480). Stars measure visibility, not whether either tool fits your constraints.

### Are juicefs and lakeFS open source?

Yes - both are open-source projects on GitHub (juicefs: Apache-2.0, lakeFS: Apache-2.0).

### Where can I find alternatives to juicefs or lakeFS?

GraphCanon lists graph-backed alternatives at [juicefs alternatives](/tools/juicedata-juicefs/alternatives) and [lakeFS alternatives](/tools/treeverse-lakefs/alternatives) ([juicefs markdown twin](/tools/juicedata-juicefs/alternatives.md), [lakeFS markdown twin](/tools/treeverse-lakefs/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/juicedata-juicefs-vs-treeverse-lakefs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, juicefs or lakeFS?

juicefs: Very active. lakeFS: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for juicefs and lakeFS?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [juicefs trust report](/tools/juicedata-juicefs/trust); [lakeFS trust report](/tools/treeverse-lakefs/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=juicedata-juicefs`](/api/graphcanon/graph?tool=juicedata-juicefs)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
