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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonMarkLogic  Xexclude from comparisonPouchDB  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.Operational and transactional Enterprise NoSQL databaseJavaScript DBMS with an API inspired by CouchDBWakandaDB 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 store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeObject oriented 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
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerwww.marklogic.compouchdb.comwakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.marklogic.compouchdb.com/­guideswakanda.github.io/­doc
DeveloperDGraph LabsClaris infoa subsidiary of AppleMarkLogic Corp.Apache Software FoundationWakanda SAS
Initial release20171983200120122012
Current release19.4.1, November 202111.0, December 20227.1.1, June 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen SourceOpen Source infoAGPLv3, extended 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 languageGoC++JavaScriptC++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 formatyesnono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoyes infovia pluginsyes infoSQL92nono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
Supported programming languagesGoPHPC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptJavaScript
Server-side scripts infoStored proceduresnoyesyes infovia XQuery or JavaScriptView functions in JavaScriptyes
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14yesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes, with Range Indexesyesno
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesRole-based access control at the document and subdocument levelsnoyes

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More resources
BadgerFileMakerMarkLogicPouchDBWakandaDB
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