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DBMS > Bangdb vs. CouchDB vs. Firebase Realtime Database vs. Greenplum

System Properties Comparison Bangdb vs. CouchDB vs. Firebase Realtime Database vs. Greenplum

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Websitebangdb.comcouchdb.apache.orgfirebase.google.com/­products/­realtime-databasegreenplum.org
Technical documentationdocs.bangdb.comdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasedocs.greenplum.org
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Pivotal Software Inc.
Initial release2012200520122005
Current releaseBangDB 2.0, October 20213.3.3, December 20237.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Erlang
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.nononoyes infosince Version 4.2
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infovia viewsyesyes
SQL infoSupport of SQLSQL like support with command line toolnonoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoView functions in JavaScriptlimited functionality with using 'rules'yes
Triggersyes, Notifications (with Streaming only)yesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleyesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infostrategy: optimistic lockingyesyes
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 modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databaseyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
BangdbCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime DatabaseGreenplum
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