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

# databend vs lakeFS

*GraphCanon updated Aug 21, 2026*

## Verdict

Pick databend if data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage; 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.

[databend](https://docs.databend.com) reports 9.4k GitHub stars, 891 forks, and 557 open issues, last pushed Aug 21, 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 [databend's repository](https://github.com/databendlabs/databend) and [lakeFS's repository](https://github.com/treeverse/lakeFS).

| | [databend](/tools/databendlabs-databend.md) | [lakeFS](/tools/treeverse-lakefs.md) |
| --- | --- | --- |
| Tagline | All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch. | Data version control for your data lake |
| Stars | 9,420 | 5,480 |
| Forks | 891 | 472 |
| Open issues | 557 | 437 |
| Language | Rust | Go |
| Adopt for | Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage. | 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 | Other | Apache-2.0 |
| Categories | Data & Retrieval, Vector Databases | Data & Retrieval |

## Trust and health

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

| | [databend](/tools/databendlabs-databend.md) | [lakeFS](/tools/treeverse-lakefs.md) |
| --- | --- | --- |
| Open issues (now) | 557 | 437 |
| Stars delta | +31 (30d) | Unknown |
| Open issues delta | +23 (30d) | Unknown |
| Full report | [trust report](/tools/databendlabs-databend/trust.md) | [trust report](/tools/treeverse-lakefs/trust.md) |

## Decision facts: databend

- **Adopt for:** Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage.

## 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 databend if…

- databend is primarily Rust; lakeFS is Go.
- License: databend is Other, lakeFS is Apache-2.0.
- Tags unique to databend: ai, bigdata, cloud-native, database.
- Also covers Vector Databases.
- - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.

### Choose lakeFS if…

- lakeFS is primarily Go; databend is Rust.
- License: lakeFS is Apache-2.0, databend is Other.
- 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 databend

- - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem.
- - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts.
- - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.

## 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 databend and lakeFS?

databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. lakeFS: Data version control for your data lake. See the comparison table for live GitHub stats and shared categories.

### When should I choose databend over lakeFS?

Choose databend over lakeFS when databend is primarily Rust; lakeFS is Go; License: databend is Other, lakeFS is Apache-2.0; Tags unique to databend: ai, bigdata, cloud-native, database; Also covers Vector Databases; - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.

### When should I choose lakeFS over databend?

Choose lakeFS over databend when lakeFS is primarily Go; databend is Rust; License: lakeFS is Apache-2.0, databend is Other; 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 databend?

- When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem. - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts. - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.

### 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 databend or lakeFS more popular on GitHub?

databend has more GitHub stars (9,420 vs 5,480). Stars measure visibility, not whether either tool fits your constraints.

### Are databend and lakeFS open source?

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

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

GraphCanon lists graph-backed alternatives at [databend alternatives](/tools/databendlabs-databend/alternatives) and [lakeFS alternatives](/tools/treeverse-lakefs/alternatives) ([databend markdown twin](/tools/databendlabs-databend/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/databendlabs-databend-vs-treeverse-lakefs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

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

databend: 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 databend and lakeFS?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=databendlabs-databend`](/api/graphcanon/graph?tool=databendlabs-databend)
- 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/_
