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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. Hive vs. OrigoDB

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. Hive vs. OrigoDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonOrigoDB  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA fully ACID in-memory object graph database
Primary database modelDocument storeTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.07
Rank#38  Overall
#6  Document stores
Score0.07
Rank#366  Overall
#38  Time Series DBMS
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orghive.apache.orgorigodb.com
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homeorigodb.com/­docs
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatApache Software Foundation infoinitially developed by FacebookRobert Friberg et al
Initial release2012201420122009 infounder the name LiveDB
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinux
Windows
Data schemeschema-freeschema-freeyesyes
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.nonono infocan be achieved using .NET
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJDBC
ODBC
Thrift
.NET Client API
HTTP API
LINQ
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C++
Java
PHP
Python
.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes infouser defined functions and integration of map-reduceyes
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
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
Eventual Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesnoAccess rights for users, groups and rolesRole based authorization

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More resources
Firebase Realtime DatabaseHawkular MetricsHiveOrigoDB
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