Pinecone vs Weaviate
Comparing two vector database platforms on pricing, features, free tier, and trade-offs.
Quick summary
Pinecone — The vector database for AI applications. Pinecone is a managed vector database purpose-built for production AI workloads, offering serverless indexes, hybrid search, and low-latency queries at scale.
Weaviate — Open source vector database with built-in ML. Weaviate is an open-source vector database with native multi-modal search, built-in vectorizer modules, hybrid search, and cloud or self-hosted deployment.
Feature comparison
| Feature | Pinecone | Weaviate |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | $50/mo | $25/mo |
| Free tier | Yes | Yes |
| Open source | No | Yes |
| Type | Managed | Hybrid |
| Free Tier | 2GB storage | 14-day sandbox |
| Serverless | Yes | Yes |
| Self-hosted | No | Yes |
| Multi-tenant | Yes | Yes |
| Hybrid Search | Yes | Yes |
| Max Dimensions | 20000 | 65535 |
| Metadata Filtering | Yes | Yes |
Pinecone
The vector database for AI applications
Pros
- Purpose-built for production RAG
- Serverless pricing scales down to zero
- Best-in-class latency at scale
- Simple SDK in every language
Cons
- Closed source
- Costs scale with pod hours
- Fewer features than general-purpose DBs
Weaviate
Open source vector database with built-in ML
Pros
- Fully open source, self-hostable
- Built-in vectorizer modules
- Native multi-modal (text + image)
- GraphQL API
Cons
- Heavier ops than Pinecone if self-hosting
- Cloud tier pricing more complex
- Community smaller than Pinecone's
Which should you choose?
Choose Pinecone if a free tier is important for your stage. Choose Weaviate if you value open source and want the option to self-host, and a free tier is important for your stage.