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DBMS > Amazon DocumentDB vs. Geode vs. Kingbase vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. Geode vs. Kingbase vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeode  Xexclude from comparisonKingbase  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websiteaws.amazon.com/­documentdbgeode.apache.orgwww.kingbase.com.cnpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgeode.apache.org/­docspouchdb.com/­guides
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.BeiJing KINGBASE Information technologies inc.Apache Software Foundation
Initial release2019200219992012
Current release1.1, February 2017V8.0, August 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaJavaScript
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLnoSQL-like query language (OQL)Standard with numerous extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsView functions in JavaScript
Triggersnoyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
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 operationsyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights per client and object definablefine grained access rights according to SQL-standardno

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Amazon DocumentDBGeodeKingbasePouchDB
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