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DBMS > OrigoDB vs. PouchDB vs. RDFox vs. Solr

System Properties Comparison OrigoDB vs. PouchDB vs. RDFox vs. Solr

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRDFox  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBHigh performance knowledge graph and semantic reasoning engineA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Object oriented DBMS
Document storeGraph DBMS
RDF store
Search engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score42.91
Rank#24  Overall
#3  Search engines
Websiteorigodb.compouchdb.comwww.oxfordsemantic.techsolr.apache.org
Technical documentationorigodb.com/­docspouchdb.com/­guidesdocs.oxfordsemantic.techsolr.apache.org/­resources.html
DeveloperRobert Friberg et alApache Software FoundationOxford Semantic TechnologiesApache Software Foundation
Initial release2009 infounder the name LiveDB201220172006
Current release7.1.1, June 20196.0, Septermber 20229.6.0, April 2024
License infoCommercial or Open SourceOpen SourceOpen SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaScriptC++Java
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoRDF schemasyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsnoyesyes infosupports customizable data types and automatic typing
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.no infocan be achieved using .NETnoyes
Secondary indexesyesyes infovia viewsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoSolr Parallel SQL Interface
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
SPARQL 1.1
Java API
RESTful HTTP/JSON API
Supported programming languages.NetJavaScriptC
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptJava plugins
Triggersyes infoDomain Eventsyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
replication via a shared file systemyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integritydepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyes 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.yesyesyesyes
User concepts infoAccess controlRole based authorizationnoRoles, resources, and access typesyes

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More resources
OrigoDBPouchDBRDFoxSolr
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