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DBMS > Citus vs. Firebase Realtime Database vs. Geode vs. Linter

System Properties Comparison Citus vs. Firebase Realtime Database vs. Geode vs. Linter

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeode  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesRDBMS for high security requirements
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#146  Overall
#72  Relational DBMS
Score16.92
Rank#38  Overall
#5  Document stores
Score1.53
Rank#136  Overall
#25  Key-value stores
Score0.08
Rank#312  Overall
#137  Relational DBMS
Websitewww.citusdata.comfirebase.google.com/­products/­realtime-databasegeode.apache.orglinter.ru/­en
Technical documentationdocs.citusdata.comfirebase.google.com/­docs/­databasegeode.apache.org/­docs
DeveloperGoogle infoacquired by Google 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.relex.ru/­en
Initial release2010201220021990
Current release8.1, December 20181.1, February 2017
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC and C++
Server operating systemsLinuxhostedAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language (OQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript
Objective-C
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.limited functionality with using 'rules'user defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQL
TriggersyesCallbacks are triggered when data changesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
CitusFirebase Realtime DatabaseGeodeLinter
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