Qdrant vs Vespa: Vector Databases Comparison (2026)
Qdrant offers a free tier, while Vespa has a starting price per hour. Qdrant lists integrations with major cloud providers, whereas Vespa does not list specific integrations. Both provide SSO and backup & disaster recovery.
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.
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
- ✓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
- ✓Pro-active remediation of issues
- ✓Unlimited support cases
- ✓Automated ops, deployments and upgrades
- ✓Community support only
- ✓No redundancy by default
- ✓Support response time varies by plan
- ✓Backup and disaster recovery
- ✓Single sign-on (SSO)
When to choose Qdrant
Qdrant is suitable for users who need a free tier for testing and prototypes, desire flexible pricing based on usage, or require enterprise security features and managed or on-premise options. It integrates with AWS, Azure, and GCP.
When to choose Vespa
Vespa is suitable for users who require pro-active remediation of issues, unlimited support cases, automated operations, deployments, and upgrades. It is also an option for those who prefer flexible pricing based on resource usage and various support options.