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

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

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionIndustrial-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 modelEvent 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
Score0.92
Rank#181  Overall
#1  Event Stores
Score5.35
Rank#77  Overall
#5  Wide column stores
Score0.73
Rank#204  Overall
#9  RDF stores
Score55.09
Rank#21  Overall
#13  Relational DBMS
Websitewww.eventstore.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationdevelopers.eventstore.comrdf4j.org/­documentationhelp.sap.com/­hana
DeveloperEvent Store LimitedMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release2012201220042010
Current release21.2, February 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono 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 systemsLinux
Windows
hostedLinux
OS X
Unix
Windows
Appliance or cloud-service
Data schemeschema-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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesSQLScript, R
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesnoyes

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More resources
EventStoreDBMicrosoft Azure Table StorageRDF4J infoformerly known as SesameSAP HANA
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