ArangoDB vs Weaviate
Overview
ArangoDB is a multi-model database supporting graph, document, and search in a single engine.
Weaviate is an open-source vector database that combines vector search with structured filtering and generative capabilities. It supports multiple vectorization modules, hybrid search (combining BM25 and vector search), and built-in integrations with LLMs for retrieval-augmented generation. Weaviate offers both self-hosted and managed cloud deployments, with a GraphQL API that makes it easy to query complex data structures.
Key features
Core capabilities each platform advertises.
- Open-source vector database
- Hybrid search (vector + keyword)
- Multi-modal support
- GraphQL and REST APIs
- Kubernetes-native deployment
ArangoDB or Weaviate — which should you choose?
Choose ArangoDB if you wantChoose if you want
Choose Weaviate if you wantChoose if you want
- Multimodal search across text, images, and more
- RAG with hybrid retrieval
- E-commerce product search
- Content recommendation engines
- Self-hosted vector search
Compare ArangoDB and Weaviate on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.