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DBMS > AllegroGraph vs. H2GIS vs. Neo4j vs. Postgres-XL

System Properties Comparison AllegroGraph vs. H2GIS vs. Neo4j vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonH2GIS  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSSpatial extension of H2Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Spatial DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websiteallegrograph.comwww.h2gis.orgneo4j.comwww.postgres-xl.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.h2gis.org/­docs/­homeneo4j.com/­docswww.postgres-xl.org/­documentation
DeveloperFranz Inc.CNRSNeo4j, Inc.
Initial release2004201320072014 infosince 2012, originally named StormDB
Current release8.0, December 20235.23, August 202410 R1, October 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoLGPL 3.0Open Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase 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 languageJavaJava, ScalaC
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Data schemeyes infoRDF schemasyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSPARQL is used as query languageyesnoyes infodistributed, parallel query execution
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infobased on H2yes infoUser defined Procedures and Functionsuser defined functions
Triggersyesyesyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodeswith Federationnoneyes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infobased on H2Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes infobased on H2Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphH2GISNeo4jPostgres-XL
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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