head to head · open source
orm vs Qdrant
orm has 47,664 GitHub stars, 2,634 forks, 2,627 open issues and last shipped yesterday. Qdrant has 35,390 stars, 2,793 forks, 704 open issues and last shipped yesterday. orm leads on adoption by 35% (47,664 vs 35,390 stars). orm is written in TypeScript under Apache-2.0; Qdrant is written in Rust under Apache-2.0. orm has attracted 6% as many forks as stars, Qdrant 8%. Qdrant 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
| orm | Qdrant | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 35K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | TypeScript | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.6K | ⑂ 2.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick orm if
- You weight community size — 48K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- 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 orm
Docs Discord X Blog Post Architecture Using Prisma 7? It remains fully supported. Its source lives on the v7 branch of this repository and its docs at prisma.io/docs/orm/v7. Prisma 8 is a release candidate. 8.0.0 final is expected in the next four to eight weeks. Until then a release candidate may include breaking changes, and every release ships with an upgrade recipe that the prisma 8 skill applies for you. The candidate is a complete implementation we stand behind: we treat bugs in it as urgent, and the risk you take on is a feature that is not built yet rather than churn. The feature scoreboard names every…
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 →
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Frequently asked questions
Is orm or Qdrant more popular?
orm has 47,664 GitHub stars and Qdrant has 35,390. orm has the larger community by that measure.
Are orm and Qdrant free?
Both are open source. orm is licensed under Apache-2.0 and Qdrant under Apache-2.0. Neither carries a licence fee.
What is the difference between orm and Qdrant?
orm is written in TypeScript 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, orm or Qdrant?
Choose orm if you want the larger community (47,664 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.