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DBMS > CouchDB vs. Hawkular Metrics vs. Quasardb vs. Realm

System Properties Comparison CouchDB vs. Hawkular Metrics vs. Quasardb vs. Realm

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeTime Series DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitecouchdb.apache.orgwww.hawkular.orgquasar.airealm.io
Technical documentationdocs.couchdb.org/­en/­stablewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­masterrealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCommunity supported by Red HatquasardbRealm, acquired by MongoDB in May 2019
Initial release2005201420092014
Current release3.3.3, December 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryyes
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 indexesyes infovia viewsnoyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsRESTful HTTP/JSON APIHTTP RESTHTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresView functions in JavaScriptnonono inforuns within the applications so server-side scripts are unnecessary
Triggersyesyes infovia Hawkular Alertingnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding infobased on CassandraSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users can be defined per databasenoCryptographically strong user authentication and audit trailyes

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Hawkular MetricsQuasardbRealm
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