neo4j is described as 'You can think of Neo4j as a high-performance graph engine with all the features of a mature and robust database' and is an app. There are more than 25 alternatives to neo4j for a variety of platforms, including Linux, Mac, Windows, Self-Hosted and Web-based apps. The best neo4j alternative is SurrealDB, which is both free and Open Source. Other great apps like neo4j are ArcadeDB, ArangoDB, GremlinStudio and FalkorDB.
Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most other python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template...
TigerGraph is the only scalable graph database for the enterprise. TigerGraph’s proven technology connects data silos for deeper, wider and operational analytics at scale. Four out of the top five global banks use TigerGraph for real-time fraud detection.
Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine.
Timbr is an ontology-based semantic layer used by leading enterprises to make faster, better decisions with AI-ready knowledge. It transforms fragmented structured data into a unified, SQL-queryable knowledge graph that makes relationships, metrics, and business context...
Graph Commons is a collaborative platform for making, analyzing and publishing network maps.
Consolidates diverse enterprise sources and business logic into a machine-readable graph providing federated data integration, ontology-based modeling, governance tools, transparent AI-driven querying, and reusable knowledge products for analytics, BI, and application interoperability.
The goal is to provide a compliant, safe, and fast graph database based on the RocksDB key-value store. It is written in Rust. It also provides a set of utility functions for reading, writing, and processing RDF files.
A scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.
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