TablePlus vs Qdrant
TablePlus and Qdrant are both popular tools in the Database & SQL Tools space. TablePlus uses a freemium model starting at Free, while Qdrant is open-source from Free. Both offer a free tier to get started. Below we break down features, pricing, strengths, and weaknesses to help you decide which tool fits your workflow best.
Last updated: March 2026
Quick Verdict
Choose TablePlus if you want modern, native database gui for developers who value speed and simplicity.. TablePlus's biggest strengths include beautiful native ui that is fast and responsive and inline editing makes data changes intuitive. Choose Qdrant if you prefer high-performance vector database for ai applications and semantic search.. Key advantages include blazing fast performance thanks to rust implementation and open source with self-hosting options and managed cloud. It's also rated higher (4.2 vs 4.1).
Modern, native database GUI for developers who value speed and simplicity.
High-performance vector database for AI applications and semantic search.
| TablePlus | Qdrant | |
|---|---|---|
| Pricing | Free | Free |
| Free Tier | Yes | Yes |
| Pricing Model | Freemium | Open-source |
| Rating | ★ 4.1 | ★ 4.2 |
| Categories | Database & SQL Tools | Database & SQL Tools |
| Key Features | 6 features | 6 features |
| Feature | TablePlus | Qdrant |
|---|---|---|
| Native app for macOS, Windows, and Linux | ✓ | — |
| Support for PostgreSQL, MySQL, SQLite, Redis, MongoDB | ✓ | — |
| Inline data editing with commit-style saves | ✓ | — |
| Intelligent SQL auto-completion | ✓ | — |
| Data diff for reviewing changes before saving | ✓ | — |
| SSH tunneling and secure connections | ✓ | — |
| High-performance vector similarity search with HNSW algorithm | — | ✓ |
| Advanced filtering combined with vector search queries | — | ✓ |
| Payload storage alongside vectors for rich metadata | — | ✓ |
| Distributed and horizontally scalable architecture | — | ✓ |
| Multiple client SDKs including Python, Rust, Go, and TypeScript | — | ✓ |
| REST and gRPC APIs for flexible integration | — | ✓ |
TablePlus
Pros
- + Beautiful native UI that is fast and responsive
- + Inline editing makes data changes intuitive
- + Supports wide range of databases including Redis
- + Commit-style saves prevent accidental data changes
Cons
- − Free tier limited to 2 open tabs
- − Less feature-rich than DBeaver for complex operations
- − No built-in AI features
Qdrant
Pros
- + Blazing fast performance thanks to Rust implementation
- + Open source with self-hosting options and managed cloud
- + Powerful filtering capabilities alongside vector search
- + Active development and growing community support
Cons
- − Smaller ecosystem compared to established SQL databases
- − Learning curve for developers new to vector databases
- − Advanced features may require diving into detailed documentation
The Bottom Line
Choose TablePlus if: you want modern, native database gui for developers who value speed and simplicity.. It's completely free to use. Keep in mind: free tier limited to 2 open tabs.
Choose Qdrant if: you prefer high-performance vector database for ai applications and semantic search.. It's completely free to use. It holds a higher user rating (4.2 vs 4.1). Keep in mind: smaller ecosystem compared to established sql databases.
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