Graph Database
Showing 36 of 111 projects
A scalable, distributed, collaborative, document-graph database for the realtime web, built in Rust.
A horizontally scalable, distributed GraphQL database with ACID transactions and real-time query performance.
A decentralized graph database and synchronization protocol for building real-time, offline-first applications with end-to-end encryption.
An open-source graph database for linked data, inspired by Google's Knowledge Graph.
An open-source graph database for linked data, inspired by Google's Knowledge Graph.
A distributed, fast open-source graph database for large-scale data with horizontal scalability and high availability.
An open-source, distributed graph database optimized for storing and querying large graphs with billions of vertices and edges.
A powerful CLI for AWS with templating, local graph sync, and smart SSH for infrastructure management.
An open-source multi-model NoSQL DBMS supporting Graph, Document, Reactive, Full-Text, and Geospatial models in a single product.
An open-source graph-vector database built in Rust that unifies application data, vectors, and graphs for AI applications.
A PostgreSQL extension that adds graph database capabilities, enabling hybrid relational and graph querying with openCypher.
A transactional, relational-graph-vector database that uses Datalog for query, designed as the hippocampus for AI.
Embedded property graph database optimized for speed with built-in vector search, full-text search, and Cypher query language.
A Python tool that pulls infrastructure assets and relationships from AWS, GCP, Azure, and 30+ other platforms into a Neo4j graph for security analysis.
A fast, highly-scalable graph database supporting over 10 billion vertices and edges with OLTP capabilities and dual Gremlin/Cypher query language support.
A graph computing framework providing the Gremlin query language and tools for both graph databases (OLTP) and graph analytic systems (OLAP).
A graph database framework for storing and querying large-scale graphs with rich properties and in-database aggregation.
A SPARQL graph database written in Rust, providing compliant, safe, and fast RDF data storage and querying.
An open-source headless CMS and real-time database with a powerful table editor, full-text search, and SDKs for JS/React/Svelte.
A simple, fast, and versatile Datalog database with built-in document, vector, and full-text search capabilities.
An Active Model wrapper for the Neo4j graph database in Ruby, providing a high-level ORM and query interface.
A curated list of amazingly awesome database libraries, resources, and shiny things.
A curated list of amazingly awesome database libraries, resources, and tools across multiple programming languages.
An embedded graph database optimized for query speed and scalability on complex analytical workloads.
An Object Graph Mapper (OGM) for the Neo4j graph database, providing a familiar class-based modeling interface with full transaction support.
EliasDB is a lightweight graph-based database with GraphQL support, a custom query language, and built-in scripting.
An ultra high-performance graph database supporting Blueprints and RDF/SPARQL APIs, scaling to 50 billion edges on a single machine.
A retired Node.js client library for Neo4j graph database using its REST API.
The official Neo4j Bolt driver for JavaScript, enabling applications to connect to and interact with Neo4j graph databases.
A semantic database for iOS/macOS that enables data-driven applications with graph theory modeling.
A comprehensive tutorial and reference book for learning the Apache TinkerPop Gremlin graph query language with real-world examples.
A Neo4j library for importing, storing, and querying spatial data with support for multiple geometry types and spatial indexes.
An open-source low-code development platform built on a graph database (Neo4j) for creating custom web apps, backends, and integration components.
A biomedical knowledge graph integrating 20 resources to describe 17,080 diseases with over 4 million relationships across ten biological scales.
A Kubernetes RBAC static analysis tool that identifies security risks and visualizes RBAC design.
A tool for auditing and visualizing control paths in Active Directory to identify privilege escalation and resource access risks.
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