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DBMS > IBM Db2 Event Store vs. RDF4J vs. Splice Machine vs. TinkerGraph

System Properties Comparison IBM Db2 Event Store vs. RDF4J vs. Splice Machine vs. TinkerGraph

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelEvent Store
Time Series DBMS
RDF storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.ibm.com/­products/­db2-event-storerdf4j.orgsplicemachine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storerdf4j.org/­documentationsplicemachine.com/­how-it-works
DeveloperIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice Machine
Initial release2017200420142009
Current release2.03.1, March 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJavaJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes infoRDF Schemasyesschema-free
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.nono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyesno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
Native Spark Datasource
ODBC
TinkerPop 3
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresyesyesyes infoJavano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoin-memory storage is supported as wellyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
IBM Db2 Event StoreRDF4J infoformerly known as SesameSplice MachineTinkerGraph
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