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DBMS > Bangdb vs. Quasardb vs. RDFox vs. searchxml

System Properties Comparison Bangdb vs. Quasardb vs. RDFox vs. searchxml

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonQuasardb  Xexclude from comparisonRDFox  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed, high-performance timeseries databaseHigh performance knowledge graph and semantic reasoning engineDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSGraph DBMS
RDF store
Native XML DBMS
Search engine
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitebangdb.comquasar.aiwww.oxfordsemantic.techwww.searchxml.net/­category/­products
Technical documentationdocs.bangdb.comdoc.quasar.ai/­masterdocs.oxfordsemantic.techwww.searchxml.net/­support/­handouts
DeveloperSachin Sinha, BangDBquasardbOxford Semantic Technologiesinformationpartners gmbh
Initial release2012200920172015
Current releaseBangDB 2.0, October 20213.14.1, January 20246.0, Septermber 20221.0
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial
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 languageC, C++C++C++C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
macOS
Windows
Windows
Data schemeschema-freeschema-freeyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infointeger and binaryyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyes infowith tagsyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languagenono
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP APIRESTful HTTP API
SPARQL 1.1
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Java
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonoyes infoon the application server
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication with selectable replication factorreplication via a shared file systemyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes infoTransient modeyesno
User concepts infoAccess controlyes (enterprise version only)Cryptographically strong user authentication and audit trailRoles, resources, and access typesDomain, group and role-based access control at the document level and for application services

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BangdbQuasardbRDFoxsearchxml
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