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DBMS > 4D vs. Apache IoTDB vs. InterSystems Caché vs. mSQL vs. OrigoDB

System Properties Comparison 4D vs. Apache IoTDB vs. InterSystems Caché vs. mSQL vs. OrigoDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache IoTDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA multi-model DBMS and application servermSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph database
Primary database modelRelational DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitewww.4d.comiotdb.apache.orgwww.intersystems.com/­products/­cachehughestech.com.au/­products/­msqlorigodb.com
Technical documentationdeveloper.4d.comiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.intersystems.comorigodb.com/­docs
Developer4D, IncApache Software FoundationInterSystemsHughes TechnologiesRobert Friberg et al
Initial release19842018199719942009 infounder the name LiveDB
Current releasev20, April 20231.1.0, April 20232018.1.4, May 20204.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source
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 languageJavaCC#
Server operating systemsOS X
Windows
All OS with a Java VM (>= 1.8)AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeyesyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.yesnoyesnono infocan be achieved using .NET
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languageyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Java
Python
Scala
C#
C++
Java
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresyesyesyesnoyes
Triggersyesyesyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistencynone
Foreign keys infoReferential integrityyesnoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlUsers and groupsyesAccess rights for users, groups and rolesnoRole based authorization

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More resources
4D infoformer name: 4th DimensionApache IoTDBInterSystems CachémSQL infoMini SQLOrigoDB
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