head to head · open source

Qdrant vs Beekeeper Studio

Qdrant has 34,694 GitHub stars, 2,685 forks, 704 open issues and last shipped yesterday. Beekeeper Studio has 23,629 stars, 1,628 forks, 1,168 open issues and last shipped yesterday. Qdrant leads on adoption by 47% (34,694 vs 23,629 stars). Qdrant is written in Rust under Apache-2.0; Beekeeper Studio is written in TypeScript under a custom or non-standard licence. Qdrant has attracted 8% as many forks as stars, Beekeeper Studio 7%. 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.

Qdrant ★ 35K Beekeeper Studio ★ 24K category Infrastructure & Operations

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Side by side

Qdrant Beekeeper Studio
GitHub stars ★ 35K ★ 24K
License Apache-2.0 Custom / other
Written in Rust TypeScript
Last push 2026-09-19 2026-09-19
Forks ⑂ 2.7K ⑂ 1.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Qdrant if

  • You weight community size — 35K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Rust
  • You value the larger contributor base for long-term maintenance

full Qdrant profile →

pick Beekeeper Studio if

  • You want the Beekeeper Studio feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches TypeScript
  • You evaluated both and Beekeeper Studio fits your workflow better

full Beekeeper Studio profile →

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 →

About Beekeeper Studio

Beekeeper Studio is a cross platform, open source SQL editor and database manager for Linux, macOS, and Windows that gives developers and data teams one graphical client for many different database engines.

read the full Beekeeper Studio overview →

More in Infrastructure & Operations

kubernetes ★ 128K Immich ★ 115K frp ★ 110K Uptime Kuma ★ 92K worldmonitor ★ 87K mall ★ 85K

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

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

Frequently asked questions

Is Qdrant or Beekeeper Studio more popular?

Qdrant has 34,694 GitHub stars and Beekeeper Studio has 23,629. Qdrant has the larger community by that measure.

Are Qdrant and Beekeeper Studio free?

Both are open source. Qdrant is licensed under Apache-2.0, and Beekeeper Studio has no licence declared in this registry. Both are free to self-host.

What is the difference between Qdrant and Beekeeper Studio?

Qdrant is written in Rust and Beekeeper Studio in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Qdrant or Beekeeper Studio?

Choose Qdrant if you want the larger community (34,694 stars) or its Apache-2.0 licence terms. Choose Beekeeper Studio if its feature set, stack or Custom / other licence fits better. Both are self-hostable.