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DBMS > IBM Db2 Event Store vs. Microsoft Azure Table Storage vs. RDF4J vs. SwayDB vs. Valentina Server

System Properties Comparison IBM Db2 Event Store vs. Microsoft Azure Table Storage vs. RDF4J vs. SwayDB vs. Valentina Server

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA 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.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageObject-relational database and reports server
Primary database modelEvent Store
Time Series DBMS
Wide column storeRDF storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgswaydb.simer.auwww.valentina-db.net
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storerdf4j.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperIBMMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer PlahaParadigma Software
Initial release20172012200420181999
Current release2.05.7.5
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScala
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionhostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenononoyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Java
Kotlin
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyesnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesnonofine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreMicrosoft Azure Table StorageRDF4J infoformerly known as SesameSwayDBValentina Server
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