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DBMS > Badger vs. PouchDB vs. Prometheus vs. RDFox

System Properties Comparison Badger vs. PouchDB vs. Prometheus vs. RDFox

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.JavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring systemHigh performance knowledge graph and semantic reasoning engine
Primary database modelKey-value storeDocument storeTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitegithub.com/­dgraph-io/­badgerpouchdb.comprometheus.iowww.oxfordsemantic.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerpouchdb.com/­guidesprometheus.io/­docsdocs.oxfordsemantic.tech
DeveloperDGraph LabsApache Software FoundationOxford Semantic Technologies
Initial release2017201220152017
Current release7.1.1, June 20196.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScriptGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or datenonoNumeric data onlyyes
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 infoImport of XML data possible
Secondary indexesnoyes infovia viewsno
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesGoJavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
Java
Server-side scripts infoStored proceduresnoView functions in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencynoneImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.noyesnoyes
User concepts infoAccess controlnononoRoles, resources, and access types

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More resources
BadgerPouchDBPrometheusRDFox
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