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DBMS > InfinityDB vs. PouchDB vs. RDFox vs. Solr

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

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Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRDFox  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceJavaScript 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 modelKey-value storeDocument storeGraph DBMS
RDF store
Search engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score41.02
Rank#24  Overall
#3  Search engines
Websiteboilerbay.compouchdb.comwww.oxfordsemantic.techsolr.apache.org
Technical documentationboilerbay.com/­infinitydb/­manualpouchdb.com/­guidesdocs.oxfordsemantic.techsolr.apache.org/­resources.html
DeveloperBoiler Bay Inc.Apache Software FoundationOxford Semantic TechnologiesApache Software Foundation
Initial release2002201220172006
Current release4.07.1.1, June 20196.0, Septermber 20229.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen 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 languageJavaJavaScriptC++Java
Server operating systemsAll OS with a Java VMserver-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 schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes infoRDF schemasyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyesyes 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.nonoyes
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyes infovia viewsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoSolr Parallel SQL Interface
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
SPARQL 1.1
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaJavaScriptC
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptJava plugins
Triggersnoyesyes infoUser configurable commands triggered on index changes
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
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 systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACIDoptimistic locking
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.noyesyesyes
User concepts infoAccess controlnonoRoles, resources, and access typesyes

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