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DBMS > 4D vs. CouchDB vs. Kinetica vs. LeanXcale vs. Splice Machine

System Properties Comparison 4D vs. CouchDB vs. Kinetica vs. LeanXcale vs. Splice Machine

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparisonSplice Machine  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.Fully vectorized database across both GPUs and CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.4d.comcouchdb.apache.orgwww.kinetica.comwww.leanxcale.comsplicemachine.com
Technical documentationdeveloper.4d.comdocs.couchdb.org/­en/­stabledocs.kinetica.comsplicemachine.com/­how-it-works
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerKineticaLeanXcaleSplice Machine
Initial release19842005201220152014
Current releasev20, April 20233.3.3, December 20237.1, August 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC, C++Java
Server operating systemsOS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
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.yesnono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like DML and DDL statementsyes infothrough Apache Derbyyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
Native Spark Datasource
ODBC
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++
Java
JavaScript (Node.js)
Python
C
Java
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functionsyes infoJava
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0ShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per databaseAccess rights for users and roles on table levelAccess 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"KineticaLeanXcaleSplice Machine
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