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DBMS > Amazon DocumentDB vs. CouchDB vs. IBM Cloudant vs. Splice Machine

System Properties Comparison Amazon DocumentDB vs. CouchDB vs. IBM Cloudant vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Database as a Service offering based on Apache CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeDocument storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score9.30
Rank#45  Overall
#7  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­documentdbcouchdb.apache.orgwww.ibm.com/­products/­cloudantsplicemachine.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.couchdb.org/­en/­stablecloud.ibm.com/­docs/­Cloudantsplicemachine.com/­how-it-works
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Splice Machine
Initial release2019200520102014
Current release3.3.3, December 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangErlangJava
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nonono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIRESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptView functions (Map-Reduce) in JavaScriptyes infoJava
Triggersnoyesyesyes
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-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a single document possibleno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes infoOptimistic lockingyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon DocumentDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"IBM CloudantSplice Machine
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