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DBMS > Amazon DocumentDB vs. CouchDB vs. IBM Db2 Event Store vs. ToroDB

System Properties Comparison Amazon DocumentDB vs. CouchDB vs. IBM Db2 Event Store vs. ToroDB

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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 Db2 Event Store  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Distributed Event Store optimized for Internet of Things use casesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument storeDocument storeEvent Store
Time Series DBMS
Document store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score7.46
Rank#51  Overall
#7  Document stores
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Websiteaws.amazon.com/­documentdbcouchdb.apache.orgwww.ibm.com/­products/­db2-event-storegithub.com/­torodb/­server
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.couchdb.org/­en/­stablewww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerIBM8Kdata
Initial release2019200520172016
Current release3.3.3, December 20232.0
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infofree developer edition availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++Java
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java 7 VM
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infostring, integer, double, boolean, date, object_id
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 viewsno
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtime
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
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
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0ShardingSharding
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
Active-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a single document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Amazon DocumentDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"IBM Db2 Event StoreToroDB
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