head to head · open source
Qdrant vs VictoriaMetrics
Qdrant has 34,638 GitHub stars, 2,680 forks, 704 open issues and last shipped yesterday. VictoriaMetrics has 17,731 stars, 1,743 forks, 800 open issues and last shipped yesterday. Qdrant leads on adoption by 95% (34,638 vs 17,731 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%. VictoriaMetrics 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 | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 2.7K | ⑂ 1.7K |
| 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
Qdrant is a vector similarity search engine and database built in Rust, designed for production use in AI applications. It stores, manages, and retrieves high dimensional vectors alongside associated metadata (payloads), supporting fast nearest neighbor search with filtering. It solves the problem of efficiently performing semantic or neural based matching at scale—such as finding similar images, recommending content, or powering retrieval augmented generation (RAG)—by replacing slow or inflexible brute force or index based approaches with a purpose built engine optimized for vector operations.…
read the full Qdrant overview →
About VictoriaMetrics
VictoriaMetrics is time series database for metrics and logs. It is monitoring solution and database, written in Go, licensed under Apache 2.0. Category is Infrastructure & Operations / Databases. GitHub metadata lists 17714 stars and 1738 forks. Homepage is victoriametrics.com. It lives in infrastructure and operations ecosystem. Topic list includes Prometheus, Grafana, Kubernetes, OpenTelemetry, OTLP, Graphite, InfluxDB, OpenTSDB, metrics, monitoring, observability.
read the full VictoriaMetrics overview →
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Frequently asked questions
Is Qdrant or VictoriaMetrics more popular?
Qdrant has 34,638 GitHub stars and VictoriaMetrics has 17,731. 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 (34,638 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.