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DBMS > AnzoGraph DB vs. Bangdb vs. OrientDB vs. RDF4J

System Properties Comparison AnzoGraph DB vs. Bangdb vs. OrientDB vs. RDF4J

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBangdb  Xexclude from comparisonOrientDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationConverged and high performance database for device data, events, time series, document and graphMulti-model DBMS (Document, Graph, Key/Value)RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitecambridgesemantics.com/­anzographbangdb.comorientdb.orgrdf4j.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.bangdb.comwww.orientdb.com/­docs/­last/­index.htmlrdf4j.org/­documentation
DeveloperCambridge SemanticsSachin Sinha, BangDBOrientDB LTD; CallidusCloud; SAPSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2018201220102004
Current release2.3, January 2021BangDB 2.0, October 20213.2.29, March 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoBSD 3Open Source infoApache version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsLinuxLinuxAll OS with a Java JDK (>= JDK 6)Linux
OS X
Unix
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoRDF Schemas
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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 infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL like support with command line toolSQL-like query language, no joinsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
Python
C
C#
C++
Java
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava, Javascriptyes
Triggersnoyes, Notifications (with Streaming only)Hooksyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integrityno infonot needed in graphsnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only mode
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)Access rights for users and roles; record level security configurableno

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More resources
AnzoGraph DBBangdbOrientDBRDF4J infoformerly known as Sesame
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