20 Best Graph Databases for beginners


A Graph database is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data.

if you looking for the best Graph Database for your next projects, here are 20 Best Graph Databases for beginners.

20 Useful Graph Databases

1 AllegroGraph

AllegroGraph is a well known, modern, high-performance, persistent graph database, and application framework for building Semantic Web applications.

AllegroGraph uses efficient memory utilization in combination with disk-based storage, enabling it to scale to billions of quads while maintaining superior performance.

AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications. – AllegroGraph

2 ArangoDB

ArangoDB is a native multi-model NoSQL database with a flexible data model for documents, graphs, and key-values.

Build high-performance applications using a convenient SQL-like query language or JavaScript extensions. – arangodb

3 Blazegraph

Blazegraph is an ultra-scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs.

It supports up to 50 Billion edges on a single machine and has a High Availability and Scale-out architecture. – Blazegraph

4 Bitsy

Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.

Designed for multi-threaded OLTP applications, Bitsy implements optimistic concurrency control and stores data in human-readable JSON-encoded text files. – Bitsy

5 BrightstarDB

BrightstarDB is an open-source, fast, embeddable NoSQL semantic web database for .NET Framework with code-first data model generation. – BrightstarDB

6 cayley

cayley is an Open Source graph database inspired by the graph database behind Freebase and Google’s Knowledge Graph. – cayley

7 neo4j

neo4j is a highly scalable open-source graph database, and one of the most popular database.

It is fully ACID supported, comes with a powerful query language, supports hot backups (without taking the database down), ETL capabilities, and clustering. – Neo4j

8 Sparksee

A high-performance and scalable graph database management system written in C++ for network analysis.

Its main characteristics are its query performance for the retrieval & exploration of large networks. Sparksee offers bindings for Java, C++, C#, Python, and Objective-C.

Sparksee 5 mobile is the first graph database for mobile devices. – Sparksee

9 Filament

Filament is a graph database for storing and exploiting graph data structures.

The core element is a graph storage library with default support for SQL through JDBC. The actual storage implementation is pluggable.  – Filament

10 GraphBase

customizable, distributed, small-footprint graph database management system with a rich toolset from FactNexus.

it makes massive, highly-structured data stores possible because it was built from scratch to managing large graphs. – GraphBase

11 Graphd

Graphd is the back-end graph database that powers Freebase.com. It is an in-house graph database or tuple store which is written in C and runs on Unix-like machines.

It processes graph query language (GQL) queries (translated from the MQL queries submitted through the Freebase API). – Graphd

12 HyperGraphDB

HyperGraphDB is a general-purpose, open-source data storage platform based on a powerful knowledge management formalism known as directed hypergraphs.

it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database. Or a (non-SQL) relational database. – HyperGraphDB

13 IBM System G Native Store

IBM System G Native Store provides an efficient graph data storage solution that can handle various graphs, property graphs, and RDF-like graphs, in terms of storage, analytics, and visualization. – IBM System G Native Store

14 InfiniteGraph

InfiniteGraph is an enterprise distributed graph database implemented in Java and is from a class of NoSQL database technologies that focus on graph data structures.

Developers use Infinitegraph to find useful and often hidden relationships in highly connected big data sets. – InfiniteGraph

15 InfoGrid

InfoGrid is an open-source web graph database with many additional software components that make the development of REST-ful web applications on a graph foundation easy. – InfoGrid

16 jCoreDB Graph database

it’s a new scalable and extensible Database Management System core which is entirely written in Java. – jCoredB

17 MarkLogic

MarkLogic is the only Enterprise NoSQL database. It is a new generation database that is built with a flexible data model to store, manage, and search today’s data, without sacrificing any of the data resiliency and consistency features of last-generation relational databases. – MarkLogic

18 Ontotext GraphDB

GraphDB is a semantic graph database that serves organizations to store, organize, and manage content in the form of semantically enriched smart data. – GraphDB

19 Virtuoso

Virtuoso is a scalable, open-source, cross-platform server that combines Relational, Graph, and Document Data Management with Web Application Server and Web Services Platform functionality. – Virtuoso

20 OrientDB

OrientDB is an open-source NoSQL database management system written in Java.

It is a multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.

It supports schema-less, schema-full, and schema-mixed modes. – OrientDB

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