QdrantvsWeaviate
Score Comparison
Signals Comparison
Qdrant
- Steep learning curve for vector DB newcomers(5/10)
Weaviate
- Steep learning curve for advanced usage(6/10)
- Documentation gaps for AI API access(4/10)
Qdrant
- UI is limited - no bulk operations(5/10)
- No built-in visualization capabilities(4/10)
- UI randomly stuck on loading(4/10)
Weaviate
- Reindexing required when adding modules(6/10)
- Cloud console is 'incredibly barebones'(5/10)
Qdrant
- Startup panic errors after version upgrades(7/10)
- Instance corruption after container restarts(8/10)
- Server stops responding under normal load(6/10)
Weaviate
- Data corruption rendered database unusable(9/10)
Qdrant
- Slow startup with large collections(6/10)
- gRPC slower than REST with payloads(5/10)
- Initial ingestion hiccups at large scale(5/10)
Weaviate
- Performance degrades at scale (18M+ objects)(8/10)
- Memory usage grows heavily with data(7/10)
- gRPC timeout errors during batch imports(5/10)
Qdrant
No signals
Weaviate
- Integration challenges with existing systems(5/10)
Qdrant
No signals
Weaviate
- Infrastructure costs escalate with dataset size(5/10)
Pricing Comparison
Qdrant
Users: Unlimited
Storage: Limited by your infrastructure
Limits: No managed hosting, manual operations, community-only support
Users: Unlimited
Storage: 1 GB
Limits: 1GB storage limit, single cluster, limited regions
Users: Unlimited
Storage: Pay per usage
Limits: Standard SLA only (99.5%), premium tier for 99.9%
Users: Unlimited
Storage: Custom
Limits: Higher minimum spend required
Weaviate
Users: Unlimited
Storage: Limited by your infrastructure
Limits: No managed operations, manual scaling, no enterprise support, requires DevOps expertise
Users: Unlimited
Storage: Pay per vector dimension
Limits: Shared infrastructure, limited customization vs Dedicated
Users: Unlimited
Storage: Committed capacity
Limits: Locked into annual contract
Users: Unlimited
Storage: Dedicated resources
Limits: Higher minimum spend, longer provisioning time
Feature Comparison
| Feature | Qdrant | Weaviate |
|---|---|---|
| core | ||
| Vector Similarity Search | ||
| Payload Filtering | ||
| Hybrid Search | ||
| Hybrid Search (Vector + BM25) | ||
| Multi-Modal Support | ||
| Cross-References | ||
| performance | ||
| Scalar Quantization | ||
| Binary Quantization | ||
| Product Quantization | ||
| reliability | ||
| Distributed Mode | ||
| Snapshot & Backup | ||
| Backups & Replication | ||
| security | ||
| Multi-tenancy | ||
| Multi-Tenancy | ||
| RBAC | ||
| integration | ||
| REST & gRPC APIs | ||
| GraphQL API | ||
| Kubernetes Native | ||
| ai | ||
| Cloud Inference | ||
| Built-in Vectorizers | ||