# Milvus vs Qdrant: source lines of code compared

The Milvus vs Qdrant comparison on OctoCounts shows side-by-side source line counts for milvus-io/milvus and qdrant/qdrant, counted with the same engine and analysis options on the dates shown in the methodology line: files, total lines, code lines, comment lines, blank lines, and per-language totals, pinned to the exact commits listed below.

As of 2026-09-19, milvus-io/milvus contains 2,090,419 total lines (1,660,235 code) across 4,922 files, while qdrant/qdrant contains 433,587 total lines (365,362 code) across 1,846 files as of 2026-09-05. milvus-io/milvus is about 4.5x the size of qdrant/qdrant by code lines. Code size is not code quality: a larger count only means more source material, not a better or worse project.

| Metric | [milvus-io/milvus](https://octocounts.com/github/milvus-io/milvus) | [qdrant/qdrant](https://octocounts.com/github/qdrant/qdrant) |
| --- | ---: | ---: |
| Files | 4,922 | 1,846 |
| Total lines | 2,090,419 | 433,587 |
| Code lines | 1,660,235 | 365,362 |
| Comment lines | 191,197 | 18,205 |
| Blank lines | 238,987 | 50,020 |
| Languages counted | 12 | 12 |

Top languages in milvus-io/milvus: Go (74.5% of code), C++ (15.5% of code), C Header (5.0% of code). Top languages in qdrant/qdrant: Rust (95.7% of code), Python (1.3% of code), Protocol Buffers (0.8% of code). Go, C++, C Header, JSON, C appear only in milvus-io/milvus's top languages; Rust, Python, Protocol Buffers, YAML, TOML appear only in qdrant/qdrant's top languages.

Methodology: both counts come from cached OctoCounts reports generated with tokei. milvus-io/milvus was counted at ref master (commit 96930d5db05a) on 2026-09-19; qdrant/qdrant was counted at ref 6ab21cac18ebb6f4ae29102c7f8f5cc11affd5de (commit 6ab21cac18eb) on 2026-09-05. See the [counting methodology](https://octocounts.com/docs/methodology) for ignored directories and analysis options.
## About this comparison

milvus-io/milvus counts the Milvus repository: a distributed vector database — its Go serving and coordination layers, C++ compute components, and tests. qdrant/qdrant counts the Qdrant repository: a vector database engine written predominantly in Rust, with its storage, indexing, and API layers. Both are database source trees, counted on the dates in the methodology line above.

The per-language tables contrast the two codebases directly: Milvus's counted code spans Go and C++ as a distributed system with separate compute components, while Qdrant's is predominantly Rust in a single engine codebase.

Both repositories include deployment manifests, tests, and tooling alongside the database code, so a share of each total exists to operate and verify the system rather than to serve queries.

_These counts do not measure query latency, recall, scalability, or resource efficiency — those are properties of the deployed system and its workload, not of repository line counts._

Sources: [milvus-io/milvus repository](https://github.com/milvus-io/milvus) · [qdrant/qdrant repository](https://github.com/qdrant/qdrant). Statements verified 2026-09-16.

Evidence and next steps:

- [milvus-io/milvus SLOC report](https://octocounts.com/github/milvus-io/milvus)
- [qdrant/qdrant SLOC report](https://octocounts.com/github/qdrant/qdrant)
- [Compare milvus-io/milvus and qdrant/qdrant interactively](https://octocounts.com/compare?left=https%3A%2F%2Fgithub.com%2Fmilvus-io%2Fmilvus&right=https%3A%2F%2Fgithub.com%2Fqdrant%2Fqdrant)

Note: code size is not code quality. OctoCounts only reports reproducible line counts and makes no claim that either project is better.

## Compare FAQ

### Which has more lines of code, milvus-io/milvus or qdrant/qdrant?

milvus-io/milvus has more code: 1,660,235 code lines versus 365,362 for qdrant/qdrant, about 4.5x as much, based on cached OctoCounts reports as of 2026-09-19.

### Does more source lines of code mean more complexity?

Not necessarily. SLOC measures size, not complexity, quality, or maintainability. A larger codebase can mean more features, more generated or vendored code, more verbose language idioms, or more tests — none of which imply the code is harder to work with. Use SLOC to gauge the scale of what you'd be reading or maintaining, not as a quality signal for milvus-io/milvus, qdrant/qdrant, or any repository.

### How is this comparison calculated?

Methodology: both counts come from cached OctoCounts reports generated with tokei. milvus-io/milvus was counted at ref master (commit 96930d5db05a) on 2026-09-19; qdrant/qdrant was counted at ref 6ab21cac18ebb6f4ae29102c7f8f5cc11affd5de (commit 6ab21cac18eb) on 2026-09-05. See the counting methodology for ignored directories and analysis options.

### Can I compare a different branch, tag, or commit?

Yes. This page shows the default branch for each repository. Use the interactive comparison tool to pick any public GitHub repository, branch, tag, or commit SHA for both sides and get a fresh side-by-side report.

## Related OctoCounts pages

- [Interactive repository comparison](https://octocounts.com/compare)
- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [OctoCounts API docs](https://octocounts.com/docs/api)