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DBMS > 4D vs. OrigoDB vs. Solr vs. TimesTen vs. Yaacomo

System Properties Comparison 4D vs. OrigoDB vs. Solr vs. TimesTen vs. Yaacomo

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparisonTimesTen  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionApplication development environment with integrated database management systemA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache LuceneIn-Memory RDBMS compatible to OracleOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitewww.4d.comorigodb.comsolr.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlyaacomo.com
Technical documentationdeveloper.4d.comorigodb.com/­docssolr.apache.org/­resources.htmldocs.oracle.com/­database/­timesten-18.1
Developer4D, IncRobert Friberg et alApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Q2WEB GmbH
Initial release19842009 infounder the name LiveDB200619982009
Current releasev20, April 20239.5.0, February 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Java
Server operating systemsOS X
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
Linux
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes infosupports customizable data types and automatic typingyesyes
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 infocan be achieved using .NETyesnono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSolr Parallel SQL Interfaceyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesJava pluginsPL/SQL
Triggersyesyes infoDomain Eventsyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlUsers and groupsRole based authorizationyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionOrigoDBSolrTimesTenYaacomo
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