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DBMS > Amazon DocumentDB vs. CouchDB vs. H2 vs. JaguarDB

System Properties Comparison Amazon DocumentDB vs. CouchDB vs. H2 vs. JaguarDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonH2  Xexclude from comparisonJaguarDB  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Performant, highly scalable DBMS for AI and IoT applications
Primary database modelDocument storeDocument storeRelational DBMSKey-value store
Vector DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score8.30
Rank#47  Overall
#7  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Websiteaws.amazon.com/­documentdbcouchdb.apache.orgwww.h2database.comwww.jaguardb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.couchdb.org/­en/­stablewww.h2database.com/­html/­main.htmlwww.jaguardb.com/­support.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerThomas MuellerDataJaguar, Inc.
Initial release2019200520052015
Current release3.3.3, December 20232.2.220, July 20233.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC++ infothe server part. Clients available in other languages
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeschema-freeschema-freeyesyes
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.nononono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLnonoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIJDBC
ODBC
JDBC
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
JavaC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptJava Stored Procedures and User-Defined Functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0noneSharding
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
With clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno 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.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardrights management via user accounts

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More resources
Amazon DocumentDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"H2JaguarDB
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