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DBMS > Badger vs. FileMaker vs. PouchDB vs. Solr vs. WakandaDB

System Properties Comparison Badger vs. FileMaker vs. PouchDB vs. Solr vs. WakandaDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonPouchDB  Xexclude from comparisonSolr  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.JavaScript DBMS with an API inspired by CouchDBA widely used distributed, scalable search engine based on Apache LuceneWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSDocument storeSearch engineObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerpouchdb.comsolr.apache.orgwakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationpouchdb.com/­guidessolr.apache.org/­resources.htmlwakanda.github.io/­doc
DeveloperDGraph LabsClaris infoa subsidiary of AppleApache Software FoundationApache Software FoundationWakanda SAS
Initial release20171983201220062012
Current release19.4.1, November 20217.1.1, June 20199.5.0, February 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache Version 2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptJavaC++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datenoyesnoyes infosupports customizable data types and automatic typingyes
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 infoA http query request can return the data in XML formatnoyesno
Secondary indexesnoyesyes infovia viewsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infovia pluginsnoSolr Parallel SQL Interfaceno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesGoPHPJavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptJava pluginsyes
Triggersnoyesyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infowith a proxy-based framework, named couchdb-loungeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesnoyesyes

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More resources
BadgerFileMakerPouchDBSolrWakandaDB
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