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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. Realm vs. searchxml

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. Realm vs. searchxml

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparisonRealm  Xexclude from comparisonsearchxml  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.Operational and transactional Enterprise NoSQL databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score7.18
Rank#52  Overall
#8  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.progress.com/­marklogicrealm.iowww.searchxml.net/­category/­products
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.progress.com/­marklogic/­documentationrealm.io/­docswww.searchxml.net/­support/­handouts
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatMarkLogic Corp.Realm, acquired by MongoDB in May 2019informationpartners gmbh
Initial release20122014200120142015
Current release11.0, December 20221.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Sourcecommercial
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
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyes infoSQL92nono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes infovia XQuery or JavaScriptno inforuns within the applications so server-side scripts are unnecessaryyes infoon the application server
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infocan act as a resource manager in an XA/JTA transactionACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes infoIn-Memory realmno
User concepts infoAccess controlyes, based on authentication and database rulesnoRole-based access control at the document and subdocument levelsyesDomain, group and role-based access control at the document level and for application services

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More resources
Firebase Realtime DatabaseHawkular MetricsMarkLogicRealmsearchxml
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