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DBMS > 4D vs. Solr vs. SQream DB vs. TimescaleDB vs. TimesTen

System Properties Comparison 4D vs. Solr vs. SQream DB vs. TimescaleDB vs. TimesTen

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloadsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSSearch engineRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.4d.comsolr.apache.orgsqream.comwww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdeveloper.4d.comsolr.apache.org/­resources.htmldocs.sqream.comdocs.timescale.comdocs.oracle.com/­database/­timesten-18.1
Developer4D, IncApache Software FoundationSQream TechnologiesTimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19842006201720171998
Current releasev20, April 20239.6.0, April 20242022.1.6, December 20222.13.0, November 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, CUDA, Haskell, Java, ScalaC
Server operating systemsOS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Typesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.yesyesyesno
Secondary indexesyesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92Solr Parallel SQL Interfaceyesyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages4D proprietary IDE
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesJava pluginsuser defined functions in Pythonuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQL
Triggersyesyes infoUser configurable commands triggered on index changesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal and vertical partitioningyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlUsers and groupsyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionSolrSQream DBTimescaleDBTimesTen
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