The Excellence
Directory Platform Template

General-purpose, transactional, relational-graph-vector database that uses Datalog for queries. Embeddable but capable of handling large amounts of data and concurrency with HNSW indices for high-performance vector similarity searches.

Open-source distributed graph database designed for super large-scale graphs with billions of vertices and trillions of edges. Outperforms Neo4j on larger datasets while providing graph database capabilities for AI applications.

Distributed key-value NoSQL database with experimental vector similarity search. Redis-compatible with RocksDB storage engine, adding HNSW-based vector indexing for large-scale vector data management.

In-memory graph database with native vector search capabilities powered by USearch. Combines vector embeddings with knowledge graphs for GraphRAG, enabling semantic similarity search alongside graph traversal.

Multi-modal vector database with tensor storage for vectors, images, texts, videos, and more. Features columnar storage format, time travel, ACID transactions, and terabyte-scale visualization for AI data management.

Multimodal AI database for vectors, images, texts, videos, and more. Features index-on-the-lake technology for sub-second queries from object storage with 10x cost efficiency and 2x faster performance.

Distributed SQL database with built-in vector capabilities. Features SingleStore-V integrated vector system with credit-based pricing at $3.96 per compute credit. This is a commercial database.

Open-source high-performance analytical database with vector search capabilities. Features IVFPQ and HNSW indexing for approximate nearest neighbor search in v3.4+. This is an OSS database under Apache 2.0, a Linux Foundation project.