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DBMS > AnzoGraph DB vs. Graph Engine vs. GraphDB

System Properties Comparison AnzoGraph DB vs. Graph Engine vs. GraphDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.
Primary database modelGraph DBMS
RDF store
Graph DBMS
Key-value store
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#308  Overall
#25  Graph DBMS
#15  RDF stores
Score0.58
Rank#239  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.59
Rank#96  Overall
#7  Graph DBMS
#3  RDF stores
Websitecambridgesemantics.com/­anzographwww.graphengine.iowww.ontotext.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.graphengine.io/­docs/­manualgraphdb.ontotext.com/­documentation
DeveloperCambridge SemanticsMicrosoftOntotext
Initial release201820102000
Current release2.3, January 202110.4, October 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMIT Licensecommercial infoSome plugins of GraphDB Workbench are open sourced
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 language.NET and CJava
Server operating systemsLinux.NETAll OS with a Java VM
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-free and OWL/RDFS-schema support; RDF shapes
Typing infopredefined data types such as float or dateyesyes
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.nonono
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesC++
Java
Python
C#
C++
F#
Visual Basic
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyeswell-defined plugin interfaces; JavaScript server-side extensibility
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.

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More resources
AnzoGraph DBGraph Engine infoformer name: TrinityGraphDB infoformer name: OWLIM
Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, solutionsreview.com

How Knowledge Graphs Automate Data Preparation
15 July 2020, Database Trends and Applications

The 12 Best Graph Databases to Consider for 2025
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23 October 2024, Blocks and Files

Semantic Knowledge Graphing Market to Reach USD 5.07 Billion by 2032, Driven by AI Adoption, Contextual Data Analytics, and Industry-Wide Digital Transformation | SNS Insider
17 April 2025, GlobeNewswire

Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
23 October 2024, PR Newswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
18 December 2019, KDnuggets

A Content Management Platform and a Graph Database Come Together in the New Company: Graphwise
28 October 2024, The Recursive

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