A scalable, distributed, collaborative, document-graph database, for the realtime web
- Updated
Nov 29, 2025 - Rust
A scalable, distributed, collaborative, document-graph database, for the realtime web
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
A distributed, fast open-source graph database featuring horizontal scalability and high availability
Memory for AI Agents in 6 lines of code
JanusGraph: an open-source, distributed graph database
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
HelixDB is an open-source graph-vector database built from scratch in Rust.
TerminusDB is a distributed, collaborative database designed for building, sharing, versioning, and reasoning on structured data.
小型金融知识图谱构建流程(neo4j / python / cypher / KG)
A graph database written in rust
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
Search and browse documents and data; find the people and companies you look for.
Apache TinkerPop - a graph computing framework
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