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DBMS > 4D vs. EsgynDB vs. KairosDB vs. RDF4J vs. Solr

System Properties Comparison 4D vs. EsgynDB vs. KairosDB vs. RDF4J vs. Solr

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonEsgynDB  Xexclude from comparisonKairosDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed Time Series DBMS based on Cassandra or H2RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRDF storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.4d.comwww.esgyn.cngithub.com/­kairosdb/­kairosdbrdf4j.orgsolr.apache.org
Technical documentationdeveloper.4d.comkairosdb.github.iordf4j.org/­documentationsolr.apache.org/­resources.html
Developer4D, IncEsgynSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation
Initial release19842015201320042006
Current releasev20, April 20231.2.2, November 20189.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaJavaJava
Server operating systemsOS X
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoRDF Schemasyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.yesnonoyes
Secondary indexesyesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92yesnonoSolr Parallel SQL Interface
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBC/ADO.NetJava
JavaScript infoNode.js
PHP
Python
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesJava Stored ProceduresnoyesJava plugins
Triggersyesnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication between multi datacentersselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API usedoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyes
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardsimple password-based access controlnoyes

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More resources
4D infoformer name: 4th DimensionEsgynDBKairosDBRDF4J infoformerly known as SesameSolr
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