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DBMS > AllegroGraph vs. JanusGraph vs. Neo4j

System Properties Comparison AllegroGraph vs. JanusGraph vs. Neo4j

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open source graph database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#157  Overall
#21  Document stores
#11  Graph DBMS
#6  RDF stores
Score1.45
Rank#122  Overall
#6  Graph DBMS
Score48.22
Rank#22  Overall
#1  Graph DBMS
Websitefranz.com/­agraph/­allegrographjanusgraph.orgneo4j.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.janusgraph.org/­latestneo4j.com/­docs
DeveloperFranz Inc.Linux Foundation; originally developed as Titan by AureliusNeo4j, Inc.
Initial release200420172007
Current release6.6.0, August 20190.4.0, July 20193.5.8, July 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infobulk load of XML files possibleno
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSPARQL is used as query languagenono
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesyes infoUser defined Procedures and Functions
Triggersyesyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
Multi-master replication
yesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUser authentification and security via Rexster Graph ServerUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AllegroGraphJanusGraph infosuccessor of TitanNeo4j
Specific characteristicsKnowledge Graph Platform Leader Document Store and Graph Database. Supporting JSON...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Triple Attributes
2 May 2018

Allegro "Knowledge" Graph News - March 2018
7 March 2018

AllegroGraph v6.4 - Now Available
23 January 2018

AllegroGraph News - December 2017
20 December 2017

AllegroGraph News - November 2017
2 November 2017

This Week in Neo4j – NODES 2019 Preview: Knowledge Graphs, Building a SurveyMonkey Clone, Sentiment Analysis with Neo4j and GCP
21 September 2019

SQL Server Advocate Turns Graph: 5-Minute Interview with Dee Pandian
20 September 2019

Connecting our Community with NODES 2019 Viewing Parties!
19 September 2019

How Graphs Enhance Artificial Intelligence
18 September 2019

NODES 2019: Announcing 52 Online Talks from Leading Graph Experts
17 September 2019

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

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More resources
AllegroGraphJanusGraph infosuccessor of TitanNeo4j
DB-Engines blog posts

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

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2 March 2016, Paul Andlinger

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

show all

Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

AllegroGraph 6.5, from Franz Inc., Marks First Multi-Model Semantic…
3 March 2019, Virtual-Strategy Magazine

Franz launches AllegroGraph Knowledge Graph solution
12 June 2019, KMWorld Magazine

Graph Database 'Shapes' Data
16 August 2019, Datanami

Graph Database Market Gaining Vast Reputation by Technology Giants Facebook, Google, LinkedIn, and PayPal
14 September 2019, Market Expert

Future Growth of Graph Database Market 2019-2024 : OrientDB Ltd, Apache(Apache Giraph, Microsoft, MarkLogic, Cayley, HyperGraphDB, Tibco Software, Twitter(FlockDB) – Business Intelligence
11 September 2019, Business Intelligence

provided by Google News

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

Benchmarking Graph Analytics Systems: TigerGraph, Neo4j, Neptune, JanusGraph, and ArangoDB
8 May 2019, Database Trends and Applications

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

provided by Google News

In love with the graph: Neo4j spreads the obsession of a new database one app at a time
13 September 2019, ZDNet

New Query Language for Graph Databases to Become International Standard
17 September 2019, PRNewswire

GQL (Graph Query Language) joins SQL as a Global Standards Project and is now the international standard declarative query language for graphs
19 September 2019, Packt Hub

Enriching text analytics with graph databases
6 September 2019, KMWorld Magazine

Neo4j & Thales Team Up to Offer Graph Data-at-Rest Encryption
23 July 2019, PRNewswire

provided by Google News

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