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DBMS > Bangdb vs. BaseX vs. Firebase Realtime Database vs. Hive

System Properties Comparison Bangdb vs. BaseX vs. Firebase Realtime Database vs. Hive

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBaseX  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Native XML DBMSDocument storeRelational DBMS
Secondary database modelsSpatial 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
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitebangdb.combasex.orgfirebase.google.com/­products/­realtime-databasehive.apache.org
Technical documentationdocs.bangdb.comdocs.basex.orgfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperSachin Sinha, BangDBBaseX GmbHGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by Facebook
Initial release2012200720122012
Current releaseBangDB 2.0, October 202110.7, August 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSD licensecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
hostedAll OS with a Java VM
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsno infoXQuery supports typesyesyes
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.nono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnonoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC
C#
C++
Java
Python
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Java
JavaScript
Objective-C
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyeslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduce
Triggersyes, Notifications (with Streaming only)yes infovia eventsCallbacks 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 algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
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
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writeryesno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 mode
User concepts infoAccess controlyes (enterprise version only)Users with fine-grained authorization concept on 4 levelsyes, based on authentication and database rulesAccess rights for users, groups and roles

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More resources
BangdbBaseXFirebase Realtime DatabaseHive
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