#148
A
Rank #11
Weaviate
Weaviate is an open-source vector database for AI applications, supporting hybrid search and native module integrations for embeddings. Its standout trait is a cloud-native Go core with built-in horizontal sharding and replication.
86.0
/ 100
⚙ Full Stack
A single Go binary implementing storage, indexing (HNSW), and a GraphQL/REST API, with native clustering via Raft-based consensus and optional modules for embedding generation (OpenAI, Cohere, local transformers).
📈 Scaling Analysis
Weaviate was built cloud-native from day one with sharding and replication across nodes, so it scales from a laptop demo to a multi-node cluster serving billions of vectors without an architecture change — the main limit is memory sizing for HNSW indexes at very large vector counts.
🚀 Running on Nexlayer
Deploy as a StatefulSet-style pod group with persistent volumes per replica, using <podName>.pod:<port> for inter-node gossip/replication traffic; the official image is already GCR/Docker Hub published so mirror.gcr.io applies directly. Single-node mode works fine for smaller Nexlayer deployments.