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DBMS > Firebase Realtime Database vs. GeoSpock vs. Hawkular Metrics vs. LokiJS vs. MarkLogic

System Properties Comparison Firebase Realtime Database vs. GeoSpock vs. Hawkular Metrics vs. LokiJS vs. MarkLogic

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  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.Spatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory JavaScript DBMSOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeRelational DBMSTime Series DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.23
Rank#38  Overall
#5  Document stores
Score0.31
Rank#267  Overall
#124  Relational DBMS
Score0.01
Rank#350  Overall
#32  Time Series DBMS
Score0.60
Rank#223  Overall
#35  Document stores
Score9.45
Rank#48  Overall
#8  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websitefirebase.google.com/­products/­realtime-databasegeospock.comwww.hawkular.orggithub.com/­techfort/­LokiJSwww.marklogic.com
Technical documentationfirebase.google.com/­docs/­databasedocs.geospock.com/­Content/­Home.htmwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJSdocs.marklogic.com
DeveloperGoogle infoacquired by Google 2014GeoSpockCommunity supported by Red HatMarkLogic Corp.
Initial release2012201420142001
Current release2.0, September 20199.0, 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaJavaScriptC++
Server operating systemshostedhostedLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononoyes
Secondary indexesyestemporal, categoricalnoyes infovia viewsyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)nonoyes infoSQL92
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBCHTTP RESTJavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoView functions in JavaScriptyes infovia XQuery or JavaScript
TriggersCallbacks are triggered when data changesnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes, with Range Indexes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per tablenonoRole-based access control at the document and subdocument levels
More information provided by the system vendor
Firebase Realtime DatabaseGeoSpockHawkular MetricsLokiJSMarkLogic
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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Firebase Realtime DatabaseGeoSpockHawkular MetricsLokiJSMarkLogic
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