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DBMS > Apache IoTDB vs. Badger vs. BigchainDB vs. CouchDB vs. STSdb

System Properties Comparison Apache IoTDB vs. Badger vs. BigchainDB vs. CouchDB vs. STSdb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonSTSdb  Xexclude from comparison
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 FlinkAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSKey-value storeDocument storeDocument storeKey-value store
Secondary database modelsSpatial 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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score8.30
Rank#47  Overall
#7  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteiotdb.apache.orggithub.com/­dgraph-io/­badgerwww.bigchaindb.comcouchdb.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.couchdb.org/­en/­stable
DeveloperApache Software FoundationDGraph LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerSTS Soft SC
Initial release20182017201620052011
Current release1.1.0, April 20233.3.3, December 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoPythonErlangC#
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Solaris
Windows
LinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnononoyes infoprimitive types and user defined types (classes)
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.nononono
Secondary indexesyesnoyes infovia viewsno
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsJDBC
Native API
CLI Client
RESTful HTTP API
RESTful HTTP/JSON API.NET Client API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
GoGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
Server-side scripts infoStored proceduresyesnoView functions in JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesnoyesAccess rights for users can be defined per databaseno

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Apache IoTDBBadgerBigchainDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"STSdb
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