head to head · open source
Qdrant vs VictoriaMetrics
Qdrant has 35,390 GitHub stars, 2,793 forks, 704 open issues and last shipped yesterday. VictoriaMetrics has 18,000 stars, 1,795 forks, 800 open issues and last shipped yesterday. Qdrant leads on adoption by 97% (35,390 vs 18,000 stars). Qdrant is written in Rust under Apache-2.0; VictoriaMetrics is written in Go under Apache-2.0. Qdrant has attracted 8% as many forks as stars, VictoriaMetrics 10%. Qdrant 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 | VictoriaMetrics | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 18K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.8K | ⑂ 1.8K |
| 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 VictoriaMetrics if
- You want the VictoriaMetrics feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and VictoriaMetrics 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 VictoriaMetrics
VictoriaMetrics VictoriaMetrics is a fast, cost effective, and scalable solution for monitoring and managing time series data. It delivers high performance and reliability, making it an ideal choice for businesses of all sizes. Here are some resources and information about VictoriaMetrics: Case studies : Grammarly, Roblox, Wix, Spotify,.... Available : Binary releases, Docker images on Docker Hub and Quay, Source code. Deployment types : Single node version and Cluster version under Apache License 2.0. Getting started: Read key concepts and follow the quick start guide. Community : Slack (join via Slack…
read the full VictoriaMetrics overview →
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Frequently asked questions
Is Qdrant or VictoriaMetrics more popular?
Qdrant has 35,390 GitHub stars and VictoriaMetrics has 18,000. Qdrant has the larger community by that measure.
Are Qdrant and VictoriaMetrics free?
Both are open source. Qdrant is licensed under Apache-2.0 and VictoriaMetrics under Apache-2.0. Neither carries a licence fee.
What is the difference between Qdrant and VictoriaMetrics?
Qdrant is written in Rust and VictoriaMetrics in Go. 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 VictoriaMetrics?
Choose Qdrant if you want the larger community (35,390 stars) or its Apache-2.0 licence terms. Choose VictoriaMetrics if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.