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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. Kinetica

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. Kinetica

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Fully vectorized database across both GPUs and CPUs
Primary database modelDocument storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.kinetica.com
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.com
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatKinetica
Initial release201220142012
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemshostedLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'nouser defined functions
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlyes, based on authentication and database rulesnoAccess rights for users and roles on table level

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More resources
Firebase Realtime DatabaseHawkular MetricsKinetica
DB-Engines blog posts

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