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 SaaS apps. The best neo4j alternative is ArangoDB, which is free. Other great apps like neo4j are SurrealDB, FalkorDB, Wikibase and NetworkX.
Nebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency. It delivers enterprise-grade high performance to simplify the most complex data sets imaginable into...
AllegroGraph is a high-performance, persistent graph database. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications.
The Document-Graph database supports SQL and Native Queries, asynchronous commands, intents, and much more.
An embedded transactional graph engine for Python backed by a LMDB file. Works with Python 2.6, 2.7 and 3.x.
Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API. It supports ACID transactions with optimistic concurrency control and on-disk persistence.
FlockDB is a distributed graph database for storing adjancency lists, with goals of supporting:
Dgraph is a low latency, high throughput, horizontally scalable and distributed graph database with ACID transactions.
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...
Equitus KGNN is an automated data unification platform that ingests, structures, and contextualizes large volumes of data, without traditional ETL.
Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine.
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because nebula graph is by design a distributed graph database and it can handle large data volume faster.