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DBMS > QuestDB vs. RDF4J

System Properties Comparison QuestDB vs. RDF4J

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSRDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#144  Overall
#12  Time Series DBMS
Score1.17
Rank#194  Overall
#8  RDF stores
Websitequestdb.iordf4j.org
Technical documentationquestdb.io/­docs/­introductionrdf4j.org/­documentation
DeveloperQuestDB LimitedSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20142004
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable consistency for N replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.yes infothrough memory mapped files
User concepts infoAccess controlno
More information provided by the system vendor
QuestDBRDF4J infoformerly known as Sesame
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

SQL Performance Tuning: Introducing EXPLAIN
26 January 2023

Three SQL Keywords for Finding Missing Data
24 January 2023

QuestDB 6.7 Release
23 January 2023

Using QuestDB to collect infrastructure metrics
19 January 2023

What Is Time-Series Data?
17 January 2023

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More resources
QuestDBRDF4J infoformerly known as Sesame
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