Vector Database Comparison
Compare VectorsDB with leading vector database providers. See which solution is best for your AI agents.
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VectorsDB
The Memory Layer for AI Agents
Per operation
| Feature | VectorsDB | Pinecone | Qdrant | Weaviate |
|---|---|---|---|---|
| Migration complexity | One line of code | Manual rewrite required | Moderate (API similar) | Complex schema migration |
| Setup time | < 5 minutes | 15-30 minutes | 10-20 minutes | 30+ minutes |
| Migration tools | Built-in compatibility | Manual process | Self-service | Limited tooling |
| Global latency | < 100ms worldwide | 100-300ms | Varies by region | 150-400ms |
| Caching layer | Intelligent Redis caching | No built-in caching | Optional Redis | Basic caching |
| Auto-scaling | Transparent | Pod management | Manual scaling | Limited auto-scaling |
| Memory patterns | Optimized for agents | General purpose | General purpose | General purpose |
| Session management | Built-in | Custom implementation | Custom implementation | Custom implementation |
| Free tier | 1M operations/month | Limited pod hours | 1GB free | Limited queries |
| Pricing model | Per operation | Pod-based | Resource-based | Hybrid model |
| Cost predictability | Transparent usage | Complex pod sizing | Resource estimation | Multiple pricing tiers |