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DBMS > 4D vs. RDF4J vs. Sphinx vs. Splice Machine vs. VictoriaMetrics

System Properties Comparison 4D vs. RDF4J vs. Sphinx vs. Splice Machine vs. VictoriaMetrics

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRDF storeSearch engineRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.4d.comrdf4j.orgsphinxsearch.comsplicemachine.comvictoriametrics.com
Technical documentationdeveloper.4d.comrdf4j.org/­documentationsphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developer4D, IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sphinx Technologies Inc.Splice MachineVictoriaMetrics
Initial release19842004200120142018
Current releasev20, April 20233.5.1, February 20233.1, March 2021v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaGo
Server operating systemsOS X
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like query language (SphinxQL)yesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages4D proprietary IDE
PHP
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesnoyes infoJavano
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers and groupsnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionRDF4J infoformerly known as SesameSphinxSplice MachineVictoriaMetrics
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