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DBMS > AllegroGraph vs. Neo4j vs. VoltDB

System Properties Comparison AllegroGraph vs. Neo4j vs. VoltDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSOpen source graph databaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#161  Overall
#21  Document stores
#12  Graph DBMS
#6  RDF stores
Score49.46
Rank#22  Overall
#1  Graph DBMS
Score1.71
Rank#116  Overall
#59  Relational DBMS
Websitefranz.com/­agraph/­allegrographneo4j.comwww.voltdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlneo4j.com/­docsdocs.voltdb.com
DeveloperFranz Inc.Neo4j, Inc.VoltDB Inc.
Initial release200420072010
Current release6.6.0, August 20193.5.8, July 20199.0, April 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageJava, ScalaJava, C++
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeyes infoRDF schemasschema-free and schema-optionalyes
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 possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API
SPARQL
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
RESTful HTTP/JSON API
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoUser defined Procedures and FunctionsJava
Triggersyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
Multi-master replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
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 authenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users and roles with access to stored procedures
More information provided by the system vendor
AllegroGraphNeo4jVoltDB
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

How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
16 October 2019

Overcoming CCPA Compliance Challenges: What Is CCPA?
14 October 2019

This Week in Neo4j – NODES Keynote, Cypher Eager Operator, Releases of Neo4j OGM and jQAssistant
12 October 2019

Announcing the Global GraphHack Winners!
11 October 2019

Empowering Educators: Neo4j’s New Program for Classroom Instruction
10 October 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
AllegroGraphNeo4jVoltDB
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

The Knowledge Graph that Listens
Webinar, 10:00 AM - Pacific, 23 October 2019

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

Recent citations in the news

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

Graph Database Market 2019 Status Analysis : triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
16 October 2019, News Adopt

Graph Database 'Shapes' Data
16 August 2019, Datanami

Franz Updates AllegroGraph with the Ability to Ingest JSON and JSON-LD Documents
4 March 2019, Database Trends and Applications

Graph Database Market Analysis 2019 - triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
25 September 2019, News Coed

provided by Google News

Neo4j equips educators with data graphing teaching tools
10 October 2019, TechRepublic

Neo4j Launches Program to Empower Educators
10 October 2019, PRNewswire

NEORIS Demonstrates the Power of Graph Knowledge Management to Enable Predictive Analytics at Neo4j GraphTour New York
10 October 2019, PRNewswire

Graph Database Market 2019 Status Analysis : triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
16 October 2019, News Adopt

Neo4j Gets Hooks Into Kafka
1 October 2019, Datanami

provided by Google News

RDBMS Software Market Overview, New Opportunities & SWOT Analysis by 2025 – ThinkSQL, FrontBase, MonetDB & VoltDB
18 September 2019, Industry News Stock

In-Memory Database Market Analysis And Demand With Forecast Overview To 2025
16 October 2019, Business Daily Mirror

What Are the Driving Growth of In-Memory Database Market By Top Key Players Oracle Corporation, Teradata Corporation, VoltDB Inc., Microsoft Corporation, Software AG, IBM Corporation, Amazon Web Services
3 October 2019, Market Report Gazette

Global In-Memory Database Market 2019 Competitive Scenario – Microsoft, IBM, Oracle, SAP, Teradata, Amazon Web Services, Tableau Software
16 October 2019, News Midget

How ML Helps Solve the Big Data Transform/Mastering Problem
10 October 2019, Datanami

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