← Compare hub
Zilliz (Milvus) vs Qdrant
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Zilliz (Milvus) | Qdrant |
|---|---|---|
| Overall | 8.2 | 8.6 |
| Capability fit | 9.2 | 9.2 |
| Price / performance | 7.8 | 8.8 |
| Latency / reliability | 8.4 | 8.6 |
| Developer & agent DX | 7.2 | 8.4 |
| Privacy / data retention | 7.8 | 8.2 |
| Lock-in risk (higher = worse) | 3.5 | 3.0 |
| Maturity / track record | 8.8 | 8.5 |
| Pricing | Managed Milvus (Zilliz Cloud); open-source Milvus for self-host; designed for large-scale ANN. | Rust engine; open-source + Qdrant Cloud; excellent filtered ANN; competitive cloud pricing. |
| Tagline | When you're truly at massive scale, Milvus/Zilliz earns its complexity. Don't start here for a chatbot MVP. | Depot pick for serious vector workloads with filters. Self-host or Cloud — either way you can leave. |
Zilliz (Milvus)
When you're truly at massive scale, Milvus/Zilliz earns its complexity. Don't start here for a chatbot MVP. Strengths: Billion-scale vector DNA; Open-source Milvus core; Serious indexing options.
Strengths
- Billion-scale vector DNA
- Open-source Milvus core
- Serious indexing options
Weaknesses
- Heavier ops than Pinecone/Qdrant Cloud
- Complexity for small RAG apps
- Learning curve
Qdrant
Depot pick for serious vector workloads with filters. Self-host or Cloud — either way you can leave. Strengths: Top filtered-search performance; Great self-host story; Cloud option without giving up OSS.
Strengths
- Top filtered-search performance
- Great self-host story
- Cloud option without giving up OSS
Weaknesses
- Ecosystem slightly smaller than Pinecone mindshare
- Need to tune HNSW for best results
- UI/ops polish varying by tier
More pairs: anthropic-vs-openai · openai-vs-google-ai · groq-vs-fireworks · fireworks-vs-together · qdrant-vs-pinecone · pinecone-vs-supabase-pgvector · e2b-vs-modal · browserbase-vs-firecrawl