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DBMS > RDF4J vs. TDSQL for MySQL vs. TimescaleDB

System Properties Comparison RDF4J vs. TDSQL for MySQL vs. TimescaleDB

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRDF storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.82
Rank#213  Overall
#97  Relational DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websiterdf4j.orgwww.tencentcloud.com/­products/­dcdbwww.timescale.com
Technical documentationrdf4j.org/­documentationwww.tencentcloud.com/­document/­product/­1042docs.timescale.com
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TencentTimescale
Initial release200420132017
Current release2.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinux
OS X
Unix
Windows
hostedLinux
OS X
Windows
Data schemeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
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 dataACID infoIsolation support depends on the API usedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.nono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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RDF4J infoformerly known as SesameTDSQL for MySQLTimescaleDB
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