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DBMS > Microsoft Azure Table Storage vs. Oracle Berkeley DB vs. Percona Server for MongoDB vs. PouchDB

System Properties Comparison Microsoft Azure Table Storage vs. Oracle Berkeley DB vs. Percona Server for MongoDB vs. PouchDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsWidely used in-process key-value storeA drop-in replacement for MongoDB Community Edition with enterprise-grade features.JavaScript DBMS with an API inspired by CouchDB
Primary database modelWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.percona.com/­mongodb/­software/­percona-server-for-mongodbpouchdb.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.percona.com/­percona-distribution-for-mongodbpouchdb.com/­guides
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OraclePerconaApache Software Foundation
Initial release2012199420152012
Current release18.1.40, May 20203.4.10-2.10, November 20177.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen Source infoGPL Version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++JavaScript
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyes infoonly with the Berkeley DB XML editionnono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSONHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
JavaScript
Server-side scripts infoStored proceduresnonoJavaScriptView functions in JavaScript
Triggersnoyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesnoAccess rights for users and rolesno

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More resources
Microsoft Azure Table StorageOracle Berkeley DBPercona Server for MongoDBPouchDB
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