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DBMS > AnzoGraph DB vs. EventStoreDB vs. Microsoft Azure Table Storage vs. RDF4J vs. SAP HANA

System Properties Comparison AnzoGraph DB vs. EventStoreDB vs. Microsoft Azure Table Storage vs. RDF4J vs. SAP HANA

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMicrosoft Azure Table Storage  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.A Wide Column Store for rapid development using massive semi-structured datasetsRDF4J 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 StoreWide column storeRDF storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#302  Overall
#26  Graph DBMS
#14  RDF stores
Score0.87
Rank#189  Overall
#1  Event Stores
Score5.53
Rank#77  Overall
#5  Wide column stores
Score0.77
Rank#203  Overall
#9  RDF stores
Score54.96
Rank#21  Overall
#13  Relational DBMS
Websitewww.cambridgesemantics.com/­anzographwww.eventstore.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.eventstore.comrdf4j.org/­documentationhelp.sap.com/­hana
DeveloperCambridge SemanticsEvent Store LimitedMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release20182012201220042010
Current release2.3, January 202121.2, February 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono 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 languageJava
Server operating systemsLinuxLinux
Windows
hostedLinux
OS X
Unix
Windows
Appliance or cloud-service
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyes 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.nonono
Secondary indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesSQLScript, R
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoImplicit feature of the cloud servicenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID 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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights based on private key authentication or shared access signaturesnoyes

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More resources
AnzoGraph DBEventStoreDBMicrosoft Azure Table StorageRDF4J infoformerly known as SesameSAP HANA
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