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DBMS > GeoSpock vs. IBM Db2 Event Store vs. InterSystems Caché vs. RDF4J

System Properties Comparison GeoSpock vs. IBM Db2 Event Store vs. InterSystems Caché vs. RDF4J

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleDistributed Event Store optimized for Internet of Things use casesA multi-model DBMS and application serverRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
RDF store
Secondary database modelsTime Series DBMSDocument store
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
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegeospock.comwww.ibm.com/­products/­db2-event-storewww.intersystems.com/­products/­cacherdf4j.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.intersystems.comrdf4j.org/­documentation
DeveloperGeoSpockIBMInterSystemsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201719972004
Current release2.0, September 20192.02018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC and C++Java
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesdepending on used data modelyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexestemporal, categoricalnoyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infothrough the embedded Spark runtimeyesno
APIs and other access methodsJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users, groups and rolesno

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More resources
GeoSpockIBM Db2 Event StoreInterSystems CachéRDF4J infoformerly known as Sesame
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