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DBMS > CouchDB vs. OrigoDB vs. Splice Machine vs. TerarkDB

System Properties Comparison CouchDB vs. OrigoDB vs. Splice Machine vs. TerarkDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A fully ACID in-memory object graph databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeDocument store
Object oriented DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitecouchdb.apache.orgorigodb.comsplicemachine.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.couchdb.org/­en/­stableorigodb.com/­docssplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerRobert Friberg et alSplice MachineByteDance, originally Terark
Initial release20052009 infounder the name LiveDB20142016
Current release3.3.3, December 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open SourceOpen Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC#JavaC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoUser defined using .NET types and collectionsyesno
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.nono infocan be achieved using .NETno
Secondary indexesyes infovia viewsyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
C++ API
Java API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresView functions in JavaScriptyesyes infoJavano
Triggersyesyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0horizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseRole based authorizationAccess rights for users, groups and roles according to SQL-standardno

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"OrigoDBSplice MachineTerarkDB
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