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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. IRONdb vs. MarkLogic vs. SpatiaLite

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. IRONdb vs. MarkLogic vs. SpatiaLite

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIRONdb  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpatiaLite  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded 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 distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOperational and transactional Enterprise NoSQL databaseSpatial extension of SQLite
Primary database modelDocument storeTime Series DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.circonus.com/solutions/time-series-database/www.marklogic.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.circonus.com/irondb/category/getting-starteddocs.marklogic.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatCirconus LLC.MarkLogic Corp.Alessandro Furieri
Initial release20122014201720012008
Current releaseV0.10.20, January 201811.0, December 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
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 and C++C++C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Windows
server-less
Data schemeschema-freeschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesyes
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.nononoyesno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL92yes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTHTTP 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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes, in Luayes infovia XQuery or JavaScriptno
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraconfigurable replication factor, datacenter awareyesnone
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 consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes, with Range Indexesyes
User concepts infoAccess controlyes, based on authentication and database rulesnonoRole-based access control at the document and subdocument levelsno

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More resources
Firebase Realtime DatabaseHawkular MetricsIRONdbMarkLogicSpatiaLite
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