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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. InterSystems Caché vs. MarkLogic vs. OrigoDB

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. InterSystems Caché vs. MarkLogic vs. OrigoDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrigoDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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.A multi-model DBMS and application serverOperational and transactional Enterprise NoSQL databaseA fully ACID in-memory object graph database
Primary database modelDocument storeTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.intersystems.com/­products/­cachewww.marklogic.comorigodb.com
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.comdocs.marklogic.comorigodb.com/­docs
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatInterSystemsMarkLogic Corp.Robert Friberg et al
Initial release20122014199720012009 infounder the name LiveDB
Current release2018.1.4, May 202011.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source
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 languageJavaC++C#
Server operating systemshostedLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-freedepending on used data modelschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesUser 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.nonoyesyesno infocan be achieved using .NET
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyesyes infoSQL92no
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API
HTTP API
LINQ
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C#
C++
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesyes infovia XQuery or JavaScriptyes
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlyes, based on authentication and database rulesnoAccess rights for users, groups and rolesRole-based access control at the document and subdocument levelsRole based authorization

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More resources
Firebase Realtime DatabaseHawkular MetricsInterSystems CachéMarkLogicOrigoDB
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