head to head · open source
Prometheus vs Weaviate
Prometheus has 66,906 GitHub stars, 10,969 forks, 890 open issues and last shipped yesterday. Weaviate has 16,934 stars, 1,433 forks, 738 open issues and last shipped yesterday. Prometheus leads on adoption by 295% (66,906 vs 16,934 stars). Prometheus is written in Go under Apache-2.0; Weaviate is written in Go under a custom or non-standard licence. Prometheus has attracted 16% as many forks as stars, Weaviate 8%. Weaviate 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
| Prometheus | Weaviate | |
|---|---|---|
| GitHub stars | ★ 67K | ★ 17K |
| License | Apache-2.0 | Custom / other |
| Written in | Go | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 11K | ⑂ 1.4K |
| 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 Weaviate if
- You want the Weaviate feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Weaviate 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 Weaviate
Weaviate Weaviate is an open source, cloud native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content classification. Weaviate supports two approaches to store vectors: automatic vectorization at import using integrated models (OpenAI, Cohere, HuggingFace, and others) or direct import of pre computed vector embeddings…
read the full Weaviate overview →
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Frequently asked questions
Is Prometheus or Weaviate more popular?
Prometheus has 66,906 GitHub stars and Weaviate has 16,934. Prometheus has the larger community by that measure.
Are Prometheus and Weaviate free?
Both are open source. Prometheus is licensed under Apache-2.0, and Weaviate has no licence declared in this registry. Both are free to self-host.
What is the difference between Prometheus and Weaviate?
Prometheus is written in Go and Weaviate 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, Prometheus or Weaviate?
Choose Prometheus if you want the larger community (66,906 stars) or its Apache-2.0 licence terms. Choose Weaviate if its feature set, stack or Custom / other licence fits better. Both are self-hostable.