head to head · open source
Qdrant vs HeidiSQL
Qdrant has 35,414 GitHub stars, 2,796 forks, 704 open issues and last shipped 2 days ago. HeidiSQL has 6,315 stars, 600 forks, 324 open issues and last shipped 2 days ago. Qdrant leads on adoption by 461% (35,414 vs 6,315 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 10%. 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 | 2026-11-03 | 2026-11-03 |
| Forks | ⑂ 2.8K | ⑂ 600 |
| 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
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 →
About HeidiSQL
HeidiSQL HeidiSQL is a graphical interface for managing MariaDB or MySQL servers, Microsoft SQL databases, PostgreSQL, SQLite, Interbase or Firebird. "Heidi" lets you browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots. Need help? Look at the online help page to learn how to use HeidiSQL. The forum is meant to ask questions. The issue tracker is the place to report bugs or request new features. Building For compiling on platforms other…
read the full HeidiSQL overview →
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Frequently asked questions
Is Qdrant or HeidiSQL more popular?
Qdrant has 35,414 GitHub stars and HeidiSQL has 6,315. 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 (35,414 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.