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DBMS > AllegroGraph vs. InterSystems Caché vs. Neo4j

System Properties Comparison AllegroGraph vs. InterSystems Caché vs. Neo4j

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNeo4j  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA multi-model DBMS and application serverScalable, 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
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
Secondary database modelsSpatial DBMSDocument store
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
Score46.15
Rank#20  Overall
#1  Graph DBMS
Websiteallegrograph.comwww.intersystems.com/­products/­cacheneo4j.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.intersystems.comneo4j.com/­docs
DeveloperFranz Inc.InterSystemsNeo4j, Inc.
Initial release200419972007
Current release8.0, December 20232018.1.4, May 20205.23, 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
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyes infoRDF schemasdepending on used data modelschema-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 possibleyes
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSPARQL is used as query languageyesno
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
JDBC
ODBC
RESTful HTTP API
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
C#
C++
Java
.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 Federationnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationCausal 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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AllegroGraphInterSystems CachéNeo4j
News

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

AllegroGraph Named “2024 Best Knowledge Graph” by KMWorld Readers’ Choice
12 November 2024

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

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

This Week in Neo4j: Knowledge Graph, Deepseek, Bloodhound, RAG and more
15 March 2025

Graph Database vs. Relational Database: What’s The Difference?
13 March 2025

How to Build a Knowledge Graph in 7 Steps
12 March 2025

Function Calling in Agentic Workflows
12 March 2025

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More resources
AllegroGraphInterSystems CachéNeo4j
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