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DBMS > Apache IoTDB vs. CouchDB vs. InterSystems Caché vs. Quasardb

System Properties Comparison Apache IoTDB vs. CouchDB vs. InterSystems Caché vs. Quasardb

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQuasardb  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 FlinkA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A multi-model DBMS and application serverDistributed, high-performance timeseries database
Primary database modelTime Series DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websiteiotdb.apache.orgcouchdb.apache.orgwww.intersystems.com/­products/­cachequasar.ai
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.couchdb.org/­en/­stabledocs.intersystems.comdoc.quasar.ai/­master
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerInterSystemsquasardb
Initial release2018200519972009
Current release1.1.0, April 20233.3.3, December 20232018.1.4, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemsAll OS with a Java VM (>= 1.8)Android
BSD
Linux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infointeger and binary
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.nonoyesno
Secondary indexesyesyes infovia viewsyesyes infowith tags
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language
APIs and other access methodsJDBC
Native API
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesView functions in JavaScriptyesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoimproved architecture with release 2.0noneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient mode
User concepts infoAccess controlyesAccess rights for users can be defined per databaseAccess rights for users, groups and rolesCryptographically strong user authentication and audit trail

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More resources
Apache IoTDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"InterSystems CachéQuasardb
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