DBMS > AgensGraph vs. ArangoDB vs. Neo4j

System Properties Comparison AgensGraph vs. ArangoDB vs. Neo4j

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Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

Primary database model

Graph DBMS
Relational DBMS

Document store
Graph DBMS
Key-value store
Search engine

Graph DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.07
Rank	#329	Overall
	#33	Graph DBMS
	#148	Relational DBMS

Score	5.92
Rank	#73	Overall
	#14	Document stores
	#4	Graph DBMS
	#11	Key-value stores
	#10	Search engines

Score	59.35
Rank	#19	Overall
	#1	Graph DBMS

Website

bitnine.net

www.arangodb.com

neo4j.com

Technical documentation

bitnine.net/documentation

www.arangodb.com/docs/stable

neo4j.com/docs

Social network pages

Developer

Bitnine Global Inc.

ArangoDB Inc.

Neo4j, Inc.

Initial release

2016

2012

2007

Current release

2.1, December 2018

3.9.2, June 2022

4.4.9, July 2022

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

Apache Version 2; Commercial license (Enterprise) available

Open Source

GPL version3, commercial licenses available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.

Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.

Implementation language

C++

Java, Scala

Server operating systems

Linux
OS X
Windows

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

Data scheme

depending on used data model

schema-free

automatically recognizes schema within a collection

schema-free and schema-optional

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

SQL

Support of SQL

yes

APIs and other access methods

Cypher Query Language
JDBC

AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Supported programming languages

C
Java
JavaScript
Python

C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes

JavaScript

yes

User defined Procedures and Functions

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

Sharding

since version 2.0

yes using Neo4j Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Source-replica replication with configurable replication factor

Causal Clustering using Raft protocol

available in in Enterprise Version only

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

configurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Foreign keys

Referential integrity

yes

relationships in graphs

yes

Relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

fine grained access rights according to SQL-standard

yes

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

More information provided by the system vendor

Specific characteristics

Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more

Neo4j delivers graph technology that has been battle tested for performance and scale...
» more

Competitive advantages

Consolidation: As a native multi-model database, can be used as a full blown document...
» more

Neo4j is the market leader, graph database category creator, and the most widely...
» more

Typical application scenarios

Native multi-model in ArangoDB is being used for a broad range of projects across...
» more

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

Key customers

Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more

Market metrics

ArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more

Licensing and pricing models

Very permissive Apache 2 License for Community Edition & commercial licenses are...
» more

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

News

Introducing the ArangoDB-PyG Adapter
4 August 2022

July 2022: What’s the Latest with ArangoDB?
21 July 2022

What is a Graph Database?
7 July 2022

May 2022: What’s the Latest with ArangoDB?
27 May 2022

April 2022: What’s the Latest with ArangoDB?
29 April 2022

From Collected Data to Connected Data: How Knowledge Graphs Are Changing the World
5 August 2022

Empowering Employees With Graph Technology
1 August 2022

This Week in Neo4j: Graph Data Science, Microservices, Java, Chatbot, PHP, Spring Data, and More
30 July 2022

How Graphs Crystallize Connections: The 5-Minute Interview With Brandon Campbell
27 July 2022

Graphs for Cybersecurity: Knowledge Graph as Digital Twin
26 July 2022

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