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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Scalable, distributed, serverless MySQL database platform built on top of VitessJavaScript DBMS with an API inspired by CouchDB
Primary database modelWide column storeDocument storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.percona.com/­mongodb/­software/­percona-server-for-mongodbplanetscale.compouchdb.com
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbplanetscale.com/­docspouchdb.com/­guides
DeveloperMicrosoftPerconaPlanetScaleApache Software Foundation
Initial release2012201520202012
Current release3.4.10-2.10, November 20177.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaScript
Server operating systemshostedLinuxDocker
Linux
macOS
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.nonono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnonoyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSONADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresnoJavaScriptyes infoproprietary syntaxView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding 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 replicationMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.noyes infovia In-Memory Engineyesyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Microsoft Azure Table StoragePercona Server for MongoDBPlanetScalePouchDB
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