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DBMS > Apache Phoenix vs. Microsoft Azure Table Storage vs. Percona Server for MongoDB vs. PouchDB

System Properties Comparison Apache Phoenix vs. Microsoft Azure Table Storage vs. Percona Server for MongoDB vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA Wide Column Store for rapid development using massive semi-structured datasetsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSWide column storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitephoenix.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.percona.com/­mongodb/­software/­percona-server-for-mongodbpouchdb.com
Technical documentationphoenix.apache.orgdocs.percona.com/­percona-distribution-for-mongodbpouchdb.com/­guides
DeveloperApache Software FoundationMicrosoftPerconaApache Software Foundation
Initial release2014201220152012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4.10-2.10, November 20177.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemsLinux
Unix
Windows
hostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-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.nononono
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCRESTful HTTP APIproprietary protocol using JSONHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresuser defined functionsnoJavaScriptView functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnono
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.yesnoyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights based on private key authentication or shared access signaturesAccess rights for users and rolesno

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More resources
Apache PhoenixMicrosoft Azure Table StoragePercona Server for MongoDBPouchDB
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