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DBMS > Firebase Realtime Database vs. GigaSpaces vs. Hawkular Metrics vs. OrigoDB vs. VictoriaMetrics

System Properties Comparison Firebase Realtime Database vs. GigaSpaces vs. Hawkular Metrics vs. OrigoDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparisonVictoriaMetrics  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph databaseA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comwww.hawkular.orgorigodb.comvictoriametrics.com
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesCommunity supported by Red HatRobert Friberg et alVictoriaMetrics
Initial release2012200020142009 infounder the name LiveDB2018
Current release15.5, September 2020v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC#Go
Server operating systemshostedLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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.nono infoXML can be used for describing objects metadatanono infocan be achieved using .NETno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnonono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST.NET Client API
HTTP API
LINQ
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesnoyesno
TriggersCallbacks are triggered when data changesyes, event driven architectureyes infovia Hawkular Alertingyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on CassandraSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlnoRole based authorization

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More resources
Firebase Realtime DatabaseGigaSpacesHawkular MetricsOrigoDBVictoriaMetrics
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