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DBMS > Graph Engine vs. jBASE vs. RDF4J vs. TimescaleDB vs. Tkrzw

System Properties Comparison Graph Engine vs. jBASE vs. RDF4J vs. TimescaleDB vs. Tkrzw

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonjBASE  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA robust multi-value DBMS comprising development tools and middlewareRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMS
Key-value store
Multivalue DBMSRDF storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.graphengine.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaserdf4j.orgwww.timescale.comdbmx.net/­tkrzw
Technical documentationwww.graphengine.io/­docs/­manualdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9rdf4j.org/­documentationdocs.timescale.com
DeveloperMicrosoftRocket Software (formerly Zumasys)Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.TimescaleMikio Hirabayashi
Initial release20101991200420172020
Current release5.72.15.0, May 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaCC++
Server operating systems.NETAIX
Linux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-freeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.noyesyesno
Secondary indexesyesyes
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICnoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
F#
Visual Basic
.Net
Basic
Jabbascript
Java
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent 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.yesyesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standardno

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More resources
Graph Engine infoformer name: TrinityjBASERDF4J infoformerly known as SesameTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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