Qdrant vs Weaviate
Comparing architecture, runtime limits, open-source licenses, and monthly costs for autonomous agent pipelines.
Detailed Specifications & Compatibility Matrix
Extracted directly from GitHub REST API & official developer documentation
| Technical Feature / Metric | Qdrant | Weaviate |
|---|---|---|
| Developer / Organization | Qdrant Solutions GmbH (Andre Zayarni & Andrey Vasnetsov) | Weaviate B.V. (Bob van Luijt & Etienne Dilocker) |
| Open-Source Engine | ✓ Open Source (Apache-2.0) | ✓ Open Source (Public) |
| GitHub Stars (Repo/SDK) | ★ 35,242 GitHub Stars | ★ 16,910 GitHub Stars |
| Core Repository Language | Rust | Go |
| Supported SDK Clients | ||
| Self-Hosted Deployment | ✓ Supported | ✓ Supported |
| Docker / Container Ready | ✓ Official Image | ✓ Official Image |
| Model Context Protocol (MCP) | ✓ Native MCP | ✓ Native MCP |
| Billing Architecture | hybrid | hybrid |
| Developer Free Tier | ✓ Yes Permanent 1GB cluster on Qdrant Cloud + unlimited self-hosted | ✓ Yes 14-day free sandbox on WCD + unlimited self-hosted |
| Entry Paid Tier (Monthly) | $25 USD / mo | $25 USD / mo |
| Pricing & Cost Architecture | 100% Free and open-source under Apache-2.0 for self-hosting. Qdrant Cloud provides a perpetual 1GB free cluster; production dedicated managed clusters start at $25/mo. | Core engine is 100% free under BSD-3-Clause. Weaviate Cloud (WCD) provides a 14-day free sandbox, with serverless consumption tiers starting at $0.05 per 1,000 queries. |
| Key Engineering Insight | Engineered from scratch in Rust with SIMD hardware optimizations to prevent unpredictable garbage collection pauses that plague Java- and C++-based vector engines. | Pioneered native Hybrid Search in vector databases, allowing developers to mathematically merge sparse BM25 keyword matching with dense HNSW vector similarity in one call. |
Strengths & Trade-Offs
Objective engineering evaluation of both platforms
Qdrant Evaluation
Key Advantages
- ✓ Written in Rust with native SIMD instruction support, delivering ultra-high search throughput and low tail latencies
- ✓ Full payload-based metadata filtering with comprehensive payload indexing without search degradation
- ✓ Permissive Apache-2.0 open-source license with official Docker images, Kubernetes Helm charts, and cloud clusters
Limitations & Trade-Offs
- ✕ Self-hosting multi-node distributed clusters requires operational tuning of RAM, disk cache, and snapshots
- ✕ Configuring scalar quantization thresholds requires testing to balance memory reduction against recall accuracy
Weaviate Evaluation
Key Advantages
- ✓ Native Hybrid Search seamlessly merging sparse BM25 keyword scoring with dense vector cosine distance
- ✓ Modular architecture supporting direct vectorization with OpenAI, Cohere, HuggingFace, and local Ollama models
- ✓ Rich GraphQL and RESTful APIs with flexible schema definitions and built-in multi-tenancy support
Limitations & Trade-Offs
- ✕ Higher baseline RAM utilization due to concurrently maintaining inverted text indexes and vector graphs
- ✕ Configuring external vectorizer microservice containers adds operational moving parts when self-hosting
Source Quotes
Direct excerpts from official documentation backing our extracted specifications
Qdrant Documentation Proof
"Managed Qdrant Cloud dedicated clusters begin at $25/month."
"Free 1GB cluster available on Qdrant Cloud forever."
"100% open source under Apache 2.0 with official Docker and Kubernetes manifests."
Weaviate Documentation Proof
"Serverless Weaviate Cloud starts at $0.05 per 1,000 queries."
"14-day sandbox provided for experimentation on Weaviate Cloud."
"Free and open source under BSD-3 license with Docker Compose support."
Frequently Asked Questions: Qdrant vs Weaviate
Architectural trade-offs and decision criteria
Is Qdrant or Weaviate cheaper for developers?
Qdrant has a starting price of $25/mo (hybrid), while Weaviate starts at $25/mo (hybrid). Qdrant includes a free tier (Permanent 1GB cluster on Qdrant Cloud + unlimited self-hosted). Weaviate offers a free tier (14-day free sandbox on WCD + unlimited self-hosted).
Can I self-host Qdrant and Weaviate in my own infrastructure?
Qdrant is self-hostable under the Apache-2.0 license. In comparison, Weaviate is available for self-hosting with open source licensing.
Do Qdrant and Weaviate support the Model Context Protocol (MCP)?
Qdrant has native support for MCP servers. Weaviate fully supports Model Context Protocol integrations.
Which programming languages have official SDKs for Qdrant vs Weaviate?
Qdrant provides official SDKs in: rust, python, typescript, go. Meanwhile, Weaviate supports: python, typescript, go, java.