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DBMS > Hawkular Metrics vs. InfluxDB vs. Lovefield vs. OrigoDB vs. Realm

System Properties Comparison Hawkular Metrics vs. InfluxDB vs. Lovefield vs. OrigoDB vs. Realm

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonOrigoDB  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.DBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptA fully ACID in-memory object graph 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 DBMSRelational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.hawkular.orgwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldorigodb.comrealm.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdorigodb.com/­docsrealm.io/­docs
DeveloperCommunity supported by Red HatGoogleRobert Friberg et alRealm, acquired by MongoDB in May 2019
Initial release2014201320142009 infounder the name LiveDB2014
Current release2.7.6, April 20242.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaScriptC#
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data and StringsyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsHTTP RESTHTTP API
JSON over UDP
.NET Client API
HTTP API
LINQ
Supported programming languagesGo
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnononoyesno inforuns within the applications so server-side scripts are unnecessary
Triggersyes infovia Hawkular AlertingnoUsing read-only observersyes infoDomain Eventsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoin enterprise version onlynonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlynoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes infousing MemoryDByesyes infoIn-Memory realm
User concepts infoAccess controlnosimple rights management via user accountsnoRole based authorizationyes
More information provided by the system vendor
Hawkular MetricsInfluxDBLovefieldOrigoDBRealm
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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Hawkular MetricsInfluxDBLovefieldOrigoDBRealm
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