head to head · open source
Qdrant vs HeidiSQL
Qdrant has 34,694 GitHub stars, 2,685 forks, 704 open issues and last shipped yesterday. HeidiSQL has 6,274 stars, 587 forks, 324 open issues and last shipped 2 days ago. Qdrant leads on adoption by 453% (34,694 vs 6,274 stars). Qdrant is written in Rust under Apache-2.0; HeidiSQL is written in Pascal under GPL-2.0. Qdrant has attracted 8% as many forks as stars, HeidiSQL 9%. 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
| Qdrant | HeidiSQL | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 6.3K |
| License | Apache-2.0 | GPL-2.0 |
| Written in | Rust | Pascal |
| Last push | 2026-09-19 | 2026-09-18 |
| Forks | ⑂ 2.7K | ⑂ 587 |
| 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
pick HeidiSQL if
- You want the HeidiSQL feature set and don't need the biggest community
- You prefer the GPL-2.0 license terms
- Your stack matches Pascal
- You evaluated both and HeidiSQL fits your workflow better
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 HeidiSQL
HeidiSQL is a free, GPL 2.0 licensed graphical client for managing MariaDB, MySQL, Microsoft SQL Server, PostgreSQL, SQLite, Interbase and Firebird databases, aimed at developers and database administrators who need to browse, edit and export data without working from a command line.
read the full HeidiSQL overview →
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Frequently asked questions
Is Qdrant or HeidiSQL more popular?
Qdrant has 34,694 GitHub stars and HeidiSQL has 6,274. Qdrant has the larger community by that measure.
Are Qdrant and HeidiSQL free?
Both are open source. Qdrant is licensed under Apache-2.0 and HeidiSQL under GPL-2.0. Neither carries a licence fee.
What is the difference between Qdrant and HeidiSQL?
Qdrant is written in Rust and HeidiSQL in Pascal. 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 HeidiSQL?
Choose Qdrant if you want the larger community (34,694 stars) or its Apache-2.0 licence terms. Choose HeidiSQL if its feature set, stack or GPL-2.0 licence fits better. Both are self-hostable.