head to head · open source
Qdrant vs Dragonfly
Qdrant has 35,390 GitHub stars, 2,793 forks, 704 open issues and last shipped yesterday. Dragonfly has 31,844 stars, 1,295 forks, 308 open issues and last shipped yesterday. Qdrant leads on adoption by 11% (35,390 vs 31,844 stars). Qdrant is written in Rust under Apache-2.0; Dragonfly is written in C++ under a custom or non-standard licence. Qdrant has attracted 8% as many forks as stars, Dragonfly 4%. Dragonfly was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Qdrant | Dragonfly | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 32K |
| License | Apache-2.0 | Custom / other |
| Written in | Rust | C++ |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.8K | ⑂ 1.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Qdrant if
- You weight community size — 35K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick Dragonfly if
- You want the Dragonfly feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches C++
- You evaluated both and Dragonfly fits your workflow better
About Qdrant
Vector Search Engine for the next generation of AI applications Qdrant (read: quadrant ) is a vector similarity search engine and vector database. It provides a production ready service with a convenient API to store, search, and manage points—vectors with an additional payload. Qdrant is tailored for extended filtering support, making it useful for all sorts of neural network or semantic based matching, faceted search, and other applications. Qdrant is written in Rust 🦀, which makes it fast and reliable even under high load. See benchmarks. With Qdrant, embeddings or neural network encoders can be turned into…
read the full Qdrant overview →
About Dragonfly
Before moving on, please consider giving us a GitHub star ⭐️. Thank you! Other languages: 简体中文 日本語 한국어 Português ภาษาไทย Website • Docs • Quick Start • Community Discord • Dragonfly User Conference • Join the Dragonfly Community GitHub Discussions • GitHub Issues • Contributing • AI Agents Guide • Dragonfly Cloud The world's most efficient in memory data store Dragonfly is an in memory data store built for modern application workloads. Fully compatible with Redis and Memcached APIs, Dragonfly requires no code changes to adopt. Compared to legacy in memory datastores, Dragonfly delivers 25X more throughput…
read the full Dragonfly overview →
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Frequently asked questions
Is Qdrant or Dragonfly more popular?
Qdrant has 35,390 GitHub stars and Dragonfly has 31,844. Qdrant has the larger community by that measure.
Are Qdrant and Dragonfly free?
Both are open source. Qdrant is licensed under Apache-2.0, and Dragonfly has no licence declared in this registry. Both are free to self-host.
What is the difference between Qdrant and Dragonfly?
Qdrant is written in Rust and Dragonfly in C++. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Qdrant or Dragonfly?
Choose Qdrant if you want the larger community (35,390 stars) or its Apache-2.0 licence terms. Choose Dragonfly if its feature set, stack or Custom / other licence fits better. Both are self-hostable.