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DBMS > Bangdb vs. Firebase Realtime Database vs. Quasardb vs. RDFox

System Properties Comparison Bangdb vs. Firebase Realtime Database vs. Quasardb vs. RDFox

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonQuasardb  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed, high-performance timeseries databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMSGraph DBMS
RDF store
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
Score13.64
Rank#39  Overall
#6  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitebangdb.comfirebase.google.com/­products/­realtime-databasequasar.aiwww.oxfordsemantic.tech
Technical documentationdocs.bangdb.comfirebase.google.com/­docs/­databasedoc.quasar.ai/­masterdocs.oxfordsemantic.tech
DeveloperSachin Sinha, BangDBGoogle infoacquired by Google 2014quasardbOxford Semantic Technologies
Initial release2012201220092017
Current releaseBangDB 2.0, October 20213.14.1, January 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++
Server operating systemsLinuxhostedBSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infointeger and binaryyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infowith tags
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Java
Python
Java
JavaScript
Objective-C
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'no
Triggersyes, Notifications (with Streaming only)Callbacks are triggered when data changesno
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 hashing
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 system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate 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 dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoby using LevelDByes
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 modeyes
User concepts infoAccess controlyes (enterprise version only)yes, based on authentication and database rulesCryptographically strong user authentication and audit trailRoles, resources, and access types

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More resources
BangdbFirebase Realtime DatabaseQuasardbRDFox
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