Company comparison
Weaviate vs Pinecone
Radar profile, momentum bars, and stack placement side by side.
Weaviate
78
momentum
Pinecone
Not scored
momentum
Weaviate capital
—
Pinecone capital
—
Company profile radar
Momentum head-to-head
- Weaviate78
Attribute tape
| Field | Weaviate | Pinecone |
|---|---|---|
| Category | Data infrastructure | Data infrastructure |
| Stack | Layer 3 | Layer 3 |
| HQ | Amsterdam, NL | New York, NY, United States |
| Founded | 2019 | 2019 |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | 78 | — |
| Summary | Weaviate is an open-source, cloud-native vector database that stores data objects alongside their vector embeddings, enabling semantic search, hybrid search, and retrieval-augmented generation (RAG) at scale. It is available as a self-hosted open-source project and as Weaviate Cloud, a fully managed offering. | Pinecone is a fully managed, serverless vector database purpose-built for AI applications. It handles embedding storage, indexing, and low-latency similarity search so teams can power semantic search, RAG pipelines, and recommendation systems without managing retrieval infrastructure. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Weaviate is an open-source, cloud-native vector database that stores data objects alongside their vector embeddings, enabling semantic search, hybrid search, and retrieval-augmented generation (RAG) at scale. It is available as a self-hosted open-source project and as Weaviate Cloud, a fully managed offering. | Pinecone is a fully managed, serverless vector database purpose-built for AI applications. It handles embedding storage, indexing, and low-latency similarity search so teams can power semantic search, RAG pipelines, and recommendation systems without managing retrieval infrastructure. |
