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DBMS > AllegroGraph vs. Neo4j vs. RavenDB

System Properties Comparison AllegroGraph vs. Neo4j vs. RavenDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSOpen source graph databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMSDocument store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#170  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score50.18
Rank#21  Overall
#1  Graph DBMS
Score4.21
Rank#78  Overall
#13  Document stores
Websiteallegrograph.comneo4j.comravendb.net
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlneo4j.com/­docsravendb.net/­docs
DeveloperFranz Inc.Neo4j, Inc.Hibernating Rhinos
Initial release200420072010
Current release7.0.0, April 20204.1.1, July 20204.2, May 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL version 3, commercial license 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.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageJava, ScalaC#
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyes infoRDF schemasschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesno
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 languagenoSQL-like query language (RQL)
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
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoUser defined Procedures and Functionsyes
Triggersyesyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMapReduce functions can be defined in Linq
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
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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)Access control on document level using the Authorization Bundle
More information provided by the system vendor
AllegroGraphNeo4jRavenDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» 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
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
News

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

Bloor Research Covers AllegroGraph with FedShard
5 June 2020

AllegroGraph Tutorial – Distributed Repository Using Shards and Federation Setup
25 May 2020

Advanced Knowledge Graph Visualization with New Gruff v8
12 May 2020

#GraphCast: Neo4j Sandbox Quick Start Guide for Summer of Nodes
14 August 2020

5-Minute Interview: Graph-Powered Machine Learning with Dr. Alessandro Negro
13 August 2020

Monitoring Neo4j Servers and Clusters
12 August 2020

Combating Money Laundering: Graph Tech Fights Serious Crimes
10 August 2020

This Week in Neo4j – Covid Graph GraphQL API, Spring Data Neo4j 6 Experiments, CompoundDB4j
8 August 2020

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More resources
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Recent citations in the news

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

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4 November 2019, Forbes

Answering the Question Why: Explainable AI
18 March 2020, AiThority

Franz AllegroGraph 7 Provides Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 2020, Database Trends and Applications

provided by Google News

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15 July 2020, Virtual-Strategy Magazine

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provided by Google News

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3 August 2020, InfoQ.com

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