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DBMS > 4D vs. CouchDB vs. Splice Machine vs. Typesense

System Properties Comparison 4D vs. CouchDB vs. Splice Machine vs. Typesense

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonSplice Machine  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.4d.comcouchdb.apache.orgsplicemachine.comtypesense.org
Technical documentationdeveloper.4d.comdocs.couchdb.org/­en/­stablesplicemachine.com/­how-it-workstypesense.org/­docs
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerSplice Machine
Initial release1984200520142015
Current releasev20, April 20233.3.3, December 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC++
Server operating systemsOS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesView functions in JavaScriptyes infoJavano
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Splice MachineTypesense
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