Tencent Cloud VectorDB

Enterprise-level distributed vector database from Baidu Intelligent Cloud, built on the proprietary Mochow kernel, supporting up to 10 billion vectors with millions of QPS and millisecond latency.

Milvus is a high-performance, open-source vector database designed for managing massive-scale embedding vectors in AI applications. It excels in similarity search using advanced indexing like HNSW and IVF, supports distributed deployment for billions of vectors, GPU acceleration, and hybrid search combining vector and scalar filters. Key use cases include RAG pipelines, recommendation engines, and image/video retrieval; it outperforms single-node DBs like Faiss in scalability but requires more setup compared to managed options like Pinecone.

VLDB 2022 paper introducing Manu, a cloud-native vector database management system designed for scalable similarity search in cloud environments with separated storage and compute architecture.

An efficient vector search system designed for disaggregated memory architectures. d-HNSW optimizes HNSW for environments where compute and memory are separated, typical in modern cloud and distributed systems.

Transwarp Hippo is an enterprise-grade, cloud-native distributed vector database designed for scalable vector operations, including similarity search and clustering, targeting massive datasets and real-time recommendation systems.

Microsoft Azure's managed service for PostgreSQL, which supports the pgvector extension, enabling robust vector database capabilities in the cloud for AI and machine learning workloads.