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DBMS > Badger vs. Ehcache vs. Percona Server for MongoDB vs. PouchDB vs. STSdb

System Properties Comparison Badger vs. Ehcache vs. Percona Server for MongoDB vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEhcache  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A widely adopted Java cache with tiered storage optionsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.JavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeKey-value storeDocument storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.50
Rank#250  Overall
#39  Document stores
Score2.18
Rank#114  Overall
#21  Document stores
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.ehcache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbpouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.ehcache.org/­documentationdocs.percona.com/­percona-distribution-for-mongodbpouchdb.com/­guides
DeveloperDGraph LabsTerracotta Inc, owned by Software AGPerconaApache Software FoundationSTS Soft SC
Initial release20172009201520122011
Current release3.10.0, March 20223.4.10-2.10, November 20177.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoGPL Version 2Open SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++JavaScriptC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxserver-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes infoprimitive types and user defined types (classes)
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 indexesnonoyesyes infovia viewsno
SQL infoSupport of SQLnonononono
APIs and other access methodsJCacheproprietary protocol using JSONHTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesGoJavaActionscript
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#
Java
Server-side scripts infoStored proceduresnonoJavaScriptView functions in JavaScriptno
Triggersnoyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourcenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
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 controlnonoAccess rights for users and rolesnono

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More resources
BadgerEhcachePercona Server for MongoDBPouchDBSTSdb
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