DBMS > Neo4j vs. Oracle Berkeley DB vs. RDF4J

System Properties Comparison Neo4j vs. Oracle Berkeley DB vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

Widely used in-process key-value store

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Graph DBMS

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

RDF store

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

Score	50.39
Rank	#23	Overall
	#1	Graph DBMS

Score	3.46
Rank	#102	Overall
	#18	Key-value stores
	#3	Native XML DBMS

Score	1.02
Rank	#226	Overall
	#9	RDF stores

Website

neo4j.com

www.oracle.com/technetwork/database/database-technologies/berkeleydb/overview/index.html

rdf4j.org

Technical documentation

neo4j.com/docs

docs.oracle.com/cd/E17076_05/html/index.html

rdf4j.org/documentation

Developer

Neo4j, Inc.

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2007

1994

2004

Current release

5.12, September 2023

18.1.40, May 2020

License

Commercial or Open Source

Open Source

GPL version3, commercial licenses available

Open Source

commercial license available

Open Source

Eclipse Distribution License (EDL), v1.0.

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, Scala

C, Java, C++ (depending on the Berkeley DB edition)

Java

Server operating systems

Linux

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

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Linux
OS X
Unix
Windows

Data scheme

schema-free and schema-optional

schema-free

yes

RDF Schemas

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.

yes

only with the Berkeley DB XML edition

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

yes

SQL interfaced based on SQLite is available

APIs and other access methods

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

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

.Net

Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others

Third-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js)

3rd party binding
Perl
Python
Tcl

Java
PHP
Python

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

yes

Triggers

yes

via event handler

yes

only for the SQL API

yes

Partitioning methods

Methods for storing different data on different nodes

yes using Neo4j Fabric

none

Replication methods

Methods for redundantly storing data on multiple nodes

Causal Clustering using Raft protocol

available in in Enterprise Version only

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities

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

yes

User concepts

Access control

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

More information provided by the system vendor

Specific characteristics

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

Competitive advantages

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

Neo4j adds major new GenAI search capability -
1 September 2023, Enterprise Times

IBM Bolsters Database Security with Guardium 12.0
27 September 2023, IT Jungle

NoSQL databases | Web Security Academy
26 September 2023, The Daily Swig

Neo4j Finds the Vector for Graph-LLM Integration
22 August 2023, Datanami

2023 Graph Database Market Growth Report Size | consumption by Regional data, Business Insights 2031 | 11
23 September 2023, Benzinga

provided by Google News

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Margo Seltzer Named ACM Athena Lecturer for Technical and ...
26 April 2023, HPCwire

Lowcountry NFL Update (Week 8)
1 November 2022, Live 5 News WCSC

Lowcountry NFL Update - Week 7
26 October 2022, Live 5 News WCSC

Lowcountry NFL Update (Week 3)
29 September 2022, Live 5 News WCSC

provided by Google News

Exploring Intelligent Graph and PathQL - DataScienceCentral.com
21 February 2022, Data Science Central

Ontotext's GraphDB 10 Brings Modern Data Architectures to the ...
5 July 2022, PR Newswire

Intara FAQs
16 November 2022, Jane's

GraphDB 9.8 Brings Text Mining and Kafka Connectivity
2 June 2021, PR Newswire

SPARQL, le SQL du Web, et Linked Data Fragment : le point sur le ...
1 January 2017, LinuxFr.org

provided by Google News

Job opportunities

Neo4J Developer
Business Integra Inc., Remote

Senior Brand Designer
Neo4j, Remote

Jr. Data Scientist
Kyla, San Jose, CA

Graph Database Developer (Neo4j)
Business Integra Inc., Remote

Business Analyst
zettalogix.Inc, Remote

Ontologist
Johns Hopkins Applied Physics Laboratory (APL), Laurel, MD

jobs by

Share this page