DBMS > AllegroGraph vs. Datomic vs. Neo4j

System Properties Comparison AllegroGraph vs. Datomic vs. Neo4j

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Editorial information provided by DB-Engines

Name

Description

High performance, persistent RDF store with additional support for Graph DBMS

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

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

Primary database model

Document store

with version 6.5
Graph DBMS
RDF store

Relational DBMS

Graph DBMS

Secondary database models

Spatial DBMS

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

Score	1.33
Rank	#187	Overall
	#31	Document stores
	#17	Graph DBMS
	#7	RDF stores

Score	2.29
Rank	#133	Overall
	#65	Relational DBMS

Score	55.43
Rank	#20	Overall
	#1	Graph DBMS

Website

allegrograph.com

www.datomic.com

neo4j.com

Technical documentation

franz.com/agraph/support/documentation/current/agraph-introduction.html

docs.datomic.com

neo4j.com/docs

Developer

Franz Inc.

Cognitect

Neo4j, Inc.

Initial release

2004

2012

2007

Current release

7.2.0, October 2021

1.0.6362, January 2022

5.4, January 2023

License

Commercial or Open Source

commercial

Limited community edition free

commercial

limited edition free

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.

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

Implementation language

Java, Clojure

Java, Scala

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

Linux

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

Data scheme

yes

RDF schemas

yes

schema-free and schema-optional

Typing

predefined data types such as float or date

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.

bulk load of XML files possible

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

SQL

Support of SQL

SPARQL is used as query language

APIs and other access methods

RESTful HTTP API
SPARQL

RESTful HTTP API

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Supported programming languages

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

Clojure
Java

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

Server-side scripts

Stored procedures

yes

JavaScript or Common Lisp

yes

Transaction Functions

yes

User defined Procedures and Functions

Triggers

yes

By using transaction functions

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

with Federation

none

But extensive use of caching in the application peers

yes using Neo4j Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

But extensive use of caching in the application peers

Causal Clustering using Raft protocol

available in in Enterprise Version only

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

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

Foreign keys

Referential integrity

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

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

In-memory capabilities

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

yes

recommended only for testing and development

User concepts

Access control

Users with fine-grained authorization concept, user roles and pluggable authentication

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

More information provided by the system vendor

Specific characteristics

Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more

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

Competitive advantages

AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
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Neo4j is the market leader, graph database category creator, and the most widely...
» more

Typical application scenarios

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

Key customers

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

Market metrics

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

Licensing and pricing models

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

News

What is a Semantic Layer?
6 January 2023

AllegroGraph Named “2023 – Trend Setting Product” by Database Trends and Applications
4 January 2023

The Hype Around Semantic Layers: How Important Are Standards?
11 November 2022

AllegroGraph Named “2022 Best Knowledge Graph” by KMWorld Readers’ Choice
9 November 2022

Using Ansible for AllegroGraph multi-server installation
7 November 2022

Announcing Neo4j Graph Data Science 2.3
1 February 2023

This Week in Neo4j: VS Code Extension, Geospatial Data, Closeness Centrality, Project Management, and More!
28 January 2023

How to Graph an ERP System in 3 Easy Steps
26 January 2023

Graph Analytics: The Future in Data Science?
25 January 2023

This Week in Neo4j: OpenAI, Deploying on GCP, Neodash, Graph Algorithms, Python, and More
21 January 2023

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