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DBMS > AllegroGraph vs. DataFS vs. Neo4j

System Properties Comparison AllegroGraph vs. DataFS vs. Neo4j

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDataFS  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Object oriented DBMSGraph DBMS
Secondary database modelsSpatial DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#214  Overall
#36  Document stores
#19  Graph DBMS
#9  RDF stores
#15  Vector DBMS
Score0.00
Rank#394  Overall
#22  Object oriented DBMS
Score46.15
Rank#20  Overall
#1  Graph DBMS
Websiteallegrograph.comnewdatabase.comneo4j.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldev.mobiland.com/­Overview.xspneo4j.com/­docs
DeveloperFranz Inc.Mobiland AGNeo4j, Inc.
Initial release200420182007
Current release8.0, December 20231.1.263, October 20225.23, August 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen 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 languageJava, Scala
Server operating systemsLinux
OS X
Windows
WindowsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyes infoRDF schemasClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-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 indexesyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSPARQL is used as query languagenono
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
Proprietary client DLL
WinRT client
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
.Net
C
C#
C++
VB.Net
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoUser defined Procedures and Functions
Triggersyesno, except callback-events from server when changes happenedyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeswith FederationProprietary Sharding systemyes using Neo4j Fabric
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 only
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 configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes 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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationWindows-ProfileUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AllegroGraphDataFSNeo4j
News

Powering GenAI Apps with Knowledge Graphs
19 March 2025

100 Companies that Matter – Franz Inc.
17 March 2025

Why Agentic AI Needs Neuro-Symbolic Knowledge Graphs for Enterprise Intelligence
3 March 2025

Knowledge Graphs in Modern Hybrid AI Architectures
29 January 2025

2025 Trend-Setting Product – AllegroGraph
17 December 2024

Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World
24 March 2025

What Are the Best Graph Database Use Cases in 2025?
20 March 2025

Modeling Agent Memory
20 March 2025

LLM Knowledge Graph Builder Front-End Architecture
18 March 2025

Is Traditional SaaS Behind Us? The Graph + GenAI Revolution
18 March 2025

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More resources
AllegroGraphDataFSNeo4j
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