Milvus vs Qdrant: Vector Databases Comparison (2026)
An independent side-by-side comparison of Milvus and Qdrant for vector databases buyers — pricing, features, integrations, and how often each is cited by major AI engines.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask vector databases questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Too early to call — probes still building data.
ChatGPT
Milvus
Tracking…
No data yet
Qdrant
Tracking…
No data yet
Perplexity
Milvus
Tracking…
No data yet
Qdrant
Tracking…
No data yet
Gemini
Milvus
Tracking…
No data yet
Qdrant
Tracking…
No data yet
Claude
Milvus
Tracking…
No data yet
Qdrant
Tracking…
No data yet
Copilot
Milvus
Tracking…
No data yet
Qdrant
Tracking…
No data yet
Scale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
Milvus
Feature data is being indexed.
Qdrant
- ✓Single Node Cluster
- ✓0.5 vCPU / 1GB RAM / 4 GB Disk
- ✓Dedicated Resources
- ✓99.5% Uptime SLA
- ✓Private VPC Links
- ✓Backup & Disaster Recovery
- ✓SSO
- ✓Flexible Vertical and Horizontal Scaling
When to choose Milvus
Choose Milvus if your team prioritizes its strengths over Qdrant's. Full guidance populates as Milvus's feature data is indexed.
When to choose Qdrant
Choose Qdrant if your team prioritizes its strengths over Milvus's. Full guidance populates as Qdrant's feature data is indexed.