head to head · open source
Prometheus vs Qdrant
Prometheus has 66,906 GitHub stars, 10,969 forks, 890 open issues and last shipped yesterday. Qdrant has 35,390 stars, 2,793 forks, 704 open issues and last shipped yesterday. Prometheus leads on adoption by 89% (66,906 vs 35,390 stars). Prometheus is written in Go under Apache-2.0; Qdrant is written in Rust under Apache-2.0. Prometheus has attracted 16% as many forks as stars, Qdrant 8%. Prometheus 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.
← all 20902 open source comparisons
Side by side
| Prometheus | Qdrant | |
|---|---|---|
| GitHub stars | ★ 67K | ★ 35K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 11K | ⑂ 2.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Prometheus if
- You weight community size — 67K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick Qdrant if
- You want the Qdrant feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and Qdrant fits your workflow better
About Prometheus
Prometheus Visit prometheus.io for the full documentation, examples and guides. [ ][quay] [ ][hub] Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts when specified conditions are observed. The features that distinguish Prometheus from other metrics and monitoring systems are: A multi dimensional data model (time series defined by metric name and set of key/value dimensions) PromQL, a powerful and flexible query language to…
read the full Prometheus overview →
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 →
More in Infrastructure & Operations
Related comparisons
More Databases projects
Compare either of these against the rest of the Databases field.
Frequently asked questions
Is Prometheus or Qdrant more popular?
Prometheus has 66,906 GitHub stars and Qdrant has 35,390. Prometheus has the larger community by that measure.
Are Prometheus and Qdrant free?
Both are open source. Prometheus is licensed under Apache-2.0 and Qdrant under Apache-2.0. Neither carries a licence fee.
What is the difference between Prometheus and Qdrant?
Prometheus is written in Go and Qdrant in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Prometheus or Qdrant?
Choose Prometheus if you want the larger community (66,906 stars) or its Apache-2.0 licence terms. Choose Qdrant if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.