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DBMS > QuestDB vs. RDF4J vs. UniData,UniVerse

System Properties Comparison QuestDB vs. RDF4J vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonUniData,UniVerse  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.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSRDF storeMultivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitequestdb.iordf4j.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationquestdb.io/­docsrdf4j.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rocket Software
Initial release201420041985
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustJavaC
Server operating systemsLinux
macOS
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesoptional
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 indexesnoyesyes
SQL infoSupport of SQLSQL with time-series extensionsnoyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencynoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesACID infoIsolation support depends on the API usedACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
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 controlnoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
QuestDBRDF4J infoformerly known as SesameUniData,UniVerse
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
QuestDBRDF4J infoformerly known as SesameUniData,UniVerse
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