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A scalable, distributed, collaborative, document-graph database, for the realtime web
An open-source graph database
🥑 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!
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
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 that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
HelixDB is a database built from scratch to be the backend for any AI application.
Search and browse documents and data; find the people and companies you look for.
Apache TinkerPop - a graph computing framework
A graph database as a Redis module