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DBMS > Apache IoTDB vs. Bangdb vs. Blueflood vs. CouchDB vs. ToroDB

System Properties Comparison Apache IoTDB vs. Bangdb vs. Blueflood vs. CouchDB vs. ToroDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBangdb  Xexclude from comparisonBlueflood  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkConverged and high performance database for device data, events, time series, document and graphScalable TimeSeries DBMS based on CassandraA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelTime Series DBMSDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSDocument storeDocument store
Secondary database modelsSpatial DBMSSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Websiteiotdb.apache.orgbangdb.comblueflood.iocouchdb.apache.orggithub.com/­torodb/­server
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.bangdb.comgithub.com/­rax-maas/­blueflood/­wikidocs.couchdb.org/­en/­stable
DeveloperApache Software FoundationSachin Sinha, BangDBRackspaceApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developer8Kdata
Initial release20182012201320052016
Current release1.1.0, April 2023BangDB 2.0, October 20213.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoApache 2.0Open Source infoApache version 2Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaErlangJava
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesschema-freepredefined schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesnoyes infostring, integer, double, boolean, date, object_id
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.nonononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes infovia views
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolnono
APIs and other access methodsJDBC
Native API
Proprietary protocol
RESTful HTTP API
HTTP RESTRESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnonoView functions in JavaScript
Triggersyesyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Tunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoatomic operations within a single document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyes, 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.yesyes, run db with in-memory only modenono
User concepts infoAccess controlyesyes (enterprise version only)noAccess rights for users can be defined per databaseAccess rights for users and roles

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Apache IoTDBBangdbBluefloodCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"ToroDB
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