head to head · open source

Prometheus vs hugegraph

Prometheus has 66,906 GitHub stars, 10,969 forks, 890 open issues and last shipped yesterday. hugegraph has 3,196 stars, 645 forks, 373 open issues and last shipped 3 days ago. Prometheus leads on adoption by 1,993% (66,906 vs 3,196 stars). Prometheus is written in Go under Apache-2.0; hugegraph is written in Java under Apache-2.0. Prometheus has attracted 16% as many forks as stars, hugegraph 20%. 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.

Prometheus ★ 67K hugegraph ★ 3.2K category Infrastructure & Operations

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Side by side

Prometheus hugegraph
GitHub stars ★ 67K ★ 3.2K
License Apache-2.0 Apache-2.0
Written in Go Java
Last push 2026-11-02 2026-10-31
Forks ⑂ 11K ⑂ 645
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

full Prometheus profile →

pick hugegraph if

  • You want the hugegraph feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and hugegraph fits your workflow better

full hugegraph profile →

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 hugegraph

A graph database that supports more than 10 billion vertices & edges, high performance and scalability Quick Navigation: Architecture • Quick Start • Module Map • Ecosystem • For Contributors • Community What is Apache HugeGraph? HugeGraph is a fast and highly scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities. HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be achieved through the powerful Gremlin graph traversal language. Features Schema Metadata Management…

read the full hugegraph overview →

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Frequently asked questions

Is Prometheus or hugegraph more popular?

Prometheus has 66,906 GitHub stars and hugegraph has 3,196. Prometheus has the larger community by that measure.

Are Prometheus and hugegraph free?

Both are open source. Prometheus is licensed under Apache-2.0 and hugegraph under Apache-2.0. Neither carries a licence fee.

What is the difference between Prometheus and hugegraph?

Prometheus is written in Go and hugegraph in Java. 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 hugegraph?

Choose Prometheus if you want the larger community (66,906 stars) or its Apache-2.0 licence terms. Choose hugegraph if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.