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DBMS > Bangdb vs. CouchDB vs. GridDB

System Properties Comparison Bangdb vs. CouchDB vs. GridDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGridDB  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.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infousing the Geocouch extensionKey-value store
Relational 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
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websitebangdb.comcouchdb.apache.orggriddb.net
Technical documentationdocs.bangdb.comdocs.couchdb.org/­en/­stabledocs.griddb.net
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerToshiba Corporation
Initial release201220052013
Current releaseBangDB 2.0, October 20213.3.3, December 20235.1, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ErlangC++
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyes infonumerical, string, blob, geometry, boolean, timestamp
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, geospatialyes infovia viewsyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
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
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptno
Triggersyes, Notifications (with Streaming only)yesyes
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 methodsnoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACID at container level
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
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 modenoyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databaseAccess rights for users can be defined per database
More information provided by the system vendor
BangdbCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GridDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BangdbCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GridDB
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