head to head · open source
vllm vs arcadedb
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. arcadedb has 1,230 stars, 163 forks, 167 open issues and last shipped yesterday. vllm leads on adoption by 7,718% (96,158 vs 1,230 stars). vllm is written in Python under Apache-2.0; arcadedb is written in Java under Apache-2.0. vllm has attracted 25% as many forks as stars, arcadedb 13%. vllm 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
| vllm | arcadedb | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 1.2K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 163 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick arcadedb if
- You want the arcadedb 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 arcadedb fits your workflow better
About vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
About arcadedb
Multi Model DBMS Built for Extreme Performance ArcadeDB is a Multi Model DBMS created by Luca Garulli, the same founder of OrientDB, after SAP's acquisition. Written from scratch with a brand new engine made of Alien Technology, ArcadeDB is able to crunch millions of records per second on common hardware with minimal resource usage. ArcadeDB reuses OrientDB's SQL engine (heavily modified) and some utility classes. It's written in LLJ: Low Level Java still Java21+ but only using low level APIs to leverage advanced mechanical sympathy techniques and reduce Garbage Collector pressure. Highly optimized for extreme…
read the full arcadedb overview →
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Frequently asked questions
Is vllm or arcadedb more popular?
vllm has 96,158 GitHub stars and arcadedb has 1,230. vllm has the larger community by that measure.
Are vllm and arcadedb free?
Both are open source. vllm is licensed under Apache-2.0 and arcadedb under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and arcadedb?
vllm is written in Python and arcadedb 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, vllm or arcadedb?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose arcadedb if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.