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🥑 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.
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
TerminusDB is a Knowledge Graph Database with Version Control. Time-travel, reason, collaborate, branch, merge, diff, and query your data with Datalog.
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
A graph database written in rust
Object-storage native graph database with branching and typed ontology
Versioned, fast, distributed Datalog engine for everyone.
🚀 The open-source, multi-tenant platform for self-building knowledge graphs and simulation
This is a simple graph database in SQLite, inspired by "SQLite as a document database"
A simple, fast and versatile Datalog database
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
Graph is a semantic database that is used to create data-driven applications.
One database for user-user (follows), user-item (likes), and item-item (related items) interactions — precomputed at write time, served as simple lookups
JavaScript tools for graph processing in Node.js and the browser inspired by the Apache TinkerPop API