head to head · open source

orm vs Qdrant

orm has 47,614 GitHub stars, 2,537 forks, 2,627 open issues and last shipped yesterday. Qdrant has 34,638 stars, 2,680 forks, 704 open issues and last shipped yesterday. orm leads on adoption by 37% (47,614 vs 34,638 stars). orm is written in TypeScript under Apache-2.0; Qdrant is written in Rust under Apache-2.0. orm has attracted 5% as many forks as stars, Qdrant 8%. orm 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.

orm ★ 48K Qdrant ★ 35K category Infrastructure & Operations

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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 2026-09-17 2026-09-17
Forks ⑂ 2.5K ⑂ 2.7K
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

full orm profile →

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

full Qdrant profile →

About orm

Prisma ORM is a next generation TypeScript ORM for Node.js and TypeScript applications, supporting PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB, and CockroachDB, and it is aimed at developers and teams building data backed applications in that ecosystem.

read the full orm overview →

About Qdrant

Qdrant is a vector similarity search engine and database built in Rust, designed for production use in AI applications. It stores, manages, and retrieves high dimensional vectors alongside associated metadata (payloads), supporting fast nearest neighbor search with filtering. It solves the problem of efficiently performing semantic or neural based matching at scale—such as finding similar images, recommending content, or powering retrieval augmented generation (RAG)—by replacing slow or inflexible brute force or index based approaches with a purpose built engine optimized for vector operations.…

read the full Qdrant overview →

More in Infrastructure & Operations

Immich ★ 114K Uptime Kuma ★ 91K worldmonitor ★ 87K mall ★ 85K NetData ★ 81K Elasticsearch ★ 78K

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Compare either of these against the rest of the Databases field.

orm vs mall orm vs Prometheus orm vs NocoDB orm vs etcd orm vs DBeaver orm vs Milvus orm vs TiDB orm vs drawDB orm vs typeorm orm vs AnotherRedisDesktopManager orm vs rocksdb orm vs InfluxDB

Frequently asked questions

Is orm or Qdrant more popular?

orm has 47,614 GitHub stars and Qdrant has 34,638. 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 (47,614 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.