Pinecone vs. Weaviate
A side-by-side comparison based on G2 review data.
| Metric | Pinecone | Weaviate |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 81 | 52 |
| Ease of use | 9.1 | 9.0 |
| Ease of setup | 9.1 | 8.8 |
| Quality of support | 8.8 | 8.7 |
| Meets requirements | 8.9 | 8.9 |
| NPS | 62.5 | 57.692308 |
| Small Business | 74.1% | 61.5% |
| Mid-Market | 22.2% | 25.0% |
| Enterprise | 3.7% | 13.5% |
| Total page views | 575 | 459 |
| Total LLM citations | 5,067 | 19,570 |
Pinecone
Pinecone is the developer-favorite and most trusted vector database for building accurate and performant AI applications at scale in production. Fully managed, easy to use, with the best cost/performance at scale.
Weaviate
Weaviate is an open-source vector database that helps developers build and scale AI applications such as semantic search, retrieval-augmented generation (RAG), recommendation, and AI agents. It stores data objects together with their vector embeddings, allowing applications to combine vector similarity with keyword and structured filters (hybrid search) to retrieve relevant results across billions of objects. Weaviate is built for developers and teams working with modern AI workloads, from individual projects to enterprise production systems.