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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonReductStore  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.JavaScript DBMS with an API inspired by CouchDBDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelWide column storeDocument storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.60
Rank#246  Overall
#39  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.percona.com/­mongodb/­software/­percona-server-for-mongodbpouchdb.comgithub.com/­reductstore
www.reduct.store
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbpouchdb.com/­guideswww.reduct.store/­docs
DeveloperMicrosoftPerconaApache Software FoundationReductStore LLC
Initial release2012201520122023
Current release3.4.10-2.10, November 20177.1.1, June 20191.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2Open SourceOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC++, Rust
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesnoyesyes infovia views
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSONHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP 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
JavaScriptC++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoJavaScriptView functions in JavaScript
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding 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 infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes 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 Engineyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess rights for users and rolesno

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More resources
Microsoft Azure Table StoragePercona Server for MongoDBPouchDBReductStore
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