Updated May 13, 2026 · Independent Analysis
Only in Qdrant
- ✦ Written in Rust
- ✦ HNSW Index
- ✦ Sparse Vectors (BM25-compatible)
✓ Free plan3k+ users · est. 2021
Only in Weaviate
- ✦ Hybrid Search (BM25 + Vector)
- ✦ Multimodal Support
- ✦ GraphQL API
✓ Free plan5k+ users · est. 2019
Pricing Intelligence

Qdrant Plans
Free tier available
- • Full features
- • Apache 2.0
- • Docker deployment
- • From $0.014/hr
- • Managed clusters
- • Free tier available
- • Private cloud
- • SSO
- • Dedicated support
Full Qdrant Pricing Breakdown →
Weaviate Plans
Free tier available
- • Full features
- • Community support
- • Apache 2.0
- • From $0.045/1M vectors
- • Managed cloud
- • No ops overhead
Enterprise Dedicated
Custom- • Custom deployment
- • SLA
- • Dedicated support
Full Weaviate Pricing Breakdown →Feature Matrix
0 differences found across 10 standardized features
No features match this filter.
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
Pros
- +Top benchmark performance via Rust and quantization
- +Named vectors enable multimodal and complex search patterns
- +Binary quantization reduces memory 32x
- +Excellent documentation and developer experience
Cons
- −Smaller managed cloud ecosystem than Pinecone
- −Newer company — fewer enterprise customer references
Pros
- +Open source with managed cloud option gives deployment flexibility
- +Built-in vectorizers reduce pipeline complexity
- +Knowledge graph cross-references unique in category
- +Active community and excellent documentation
Cons
- −GraphQL API has steeper learning curve
- −Performance benchmarks trail Qdrant at very high scale
At a Glance
Starting PricePay-per-usevsPay-per-use
Feature Count16 featuresvs16 features
Frequently Asked Questions