ZeroDB vs Pinecone
Persistent knowledge layer for AI agents vs a vector-only database
Pinecone pioneered managed vector databases and remains a strong choice for pure similarity search. But AI agents in 2026 don't just need vectors — they need structured memory, file storage, event history, and tool-use via MCP. Stitching together Pinecone + PostgreSQL + S3 + a memory framework means managing four separate services, four separate billing accounts, and four failure points.
ZeroDB is the persistent knowledge layer built specifically for AI agents. One API gives your agent vectors, SQL tables, S3-compatible file storage, event streaming, a Memory API, and a hosted MCP server — provisionable in a single POST request with no auth required. Everything Pinecone does, plus everything your agent actually needs.
| Feature | ZeroDB | Pinecone |
|---|---|---|
| Vector Search | ✓ | ✓ |
| Hybrid Search (BM25 + vectors) | ✓ | ✓ |
| Serverless | ✓ | ✓ |
| Free Tier | ✓ | ✓ |
| Multi-dimension Vectors | ✓ | ✓ |
| SQL Tables | ✓ | ✗ |
| NoSQL Documents | ✓ | ✗ |
| File Storage (S3-compatible) | ✓ | ✗ |
| Event Streaming | ✓ | ✗ |
| Memory API | ✓ | ✗ |
| MCP Integration | ✓ | ✗ |
| Dedicated PostgreSQL | ✓ | ✗ |
| Context Graph / GraphRAG | ✓ | ✗ |
| Instant provisioning (no auth) | ✓ | ✗ |
Why limit your agents to vectors?
ZeroDB gives agents memory, knowledge graphs, file storage, and MCP — all in one API. Free to start.