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DBMS > Hawkular Metrics vs. ITTIA vs. PouchDB vs. Quasardb vs. Realm

System Properties Comparison Hawkular Metrics vs. ITTIA vs. PouchDB vs. Quasardb vs. Realm

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonITTIA  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Edge Time Series DBMS with Real-Time Stream ProcessingJavaScript DBMS with an API inspired by CouchDBDistributed, 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 modelTime Series DBMSTime Series DBMSDocument storeTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.hawkular.orgwww.ittia.compouchdb.comquasar.airealm.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepouchdb.com/­guidesdoc.quasar.ai/­masterrealm.io/­docs
DeveloperCommunity supported by Red HatITTIA L.L.C.Apache Software FoundationquasardbRealm, acquired by MongoDB in May 2019
Initial release20142007201220092014
Current release8.77.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++JavaScriptC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeFixed schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalnoyes 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.nonononono
Secondary indexesnoyesyes infovia viewsyes infowith tagsyes
SQL infoSupport of SQLnoyesnoSQL-like query languageno
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Supported programming languagesGo
Java
Python
Ruby
C
C++
JavaScript (Node.js)
Python
JavaScript.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 proceduresnoyesView functions in JavaScriptnono inforuns within the applications so server-side scripts are unnecessary
Triggersyes infovia Hawkular Alertingnoyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlnoDatabase file passwordsnoCryptographically strong user authentication and audit trailyes

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More resources
Hawkular MetricsITTIAPouchDBQuasardbRealm
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