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DBMS > AnzoGraph DB vs. EventStoreDB vs. Oracle vs. RDF4J vs. SAP HANA

System Properties Comparison AnzoGraph DB vs. EventStoreDB vs. Oracle vs. RDF4J vs. SAP HANA

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonOracle  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationIndustrial-strength, open-source database solution built from the ground up for event sourcing.Widely used RDBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.In-memory, column based data store. Available as appliance or cloud service
Primary database modelGraph DBMS
RDF store
Event StoreRelational DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#264  Overall
#21  Graph DBMS
#12  RDF stores
Score1.04
Rank#172  Overall
#1  Event Stores
Score1266.89
Rank#1  Overall
#1  Relational DBMS
Score0.68
Rank#211  Overall
#9  RDF stores
Score56.92
Rank#21  Overall
#13  Relational DBMS
Websitewww.cambridgesemantics.com/­anzographwww.eventstore.comwww.oracle.com/­databaserdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.eventstore.comdocs.oracle.com/­en/­databaserdf4j.org/­documentationhelp.sap.com/­hana
DeveloperCambridge SemanticsEvent Store LimitedOracleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release20182012198020042010
Current release2.3, January 202121.2, February 202119c, February 20192.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsLinuxLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Appliance or cloud-service
Data schemeSchema-free and OWL/RDFS-schema supportyes infoSchemaless in JSON and XML columnsyes infoRDF Schemasyes
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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesC++
Java
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesPL/SQL infoalso stored procedures in Java possibleyesSQLScript, R
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding, horizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingno infocan be realized in PL/SQLnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoisolation level can be parameterizedACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoyes

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More resources
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