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

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

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonEhcache  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA widely adopted Java cache with tiered storage optionsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.RDBMS for high security requirements
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#146  Overall
#71  Relational DBMS
Score6.68
Rank#52  Overall
#8  Key-value stores
Score12.35
Rank#38  Overall
#6  Document stores
Score0.02
Rank#327  Overall
#134  Relational DBMS
Websitewww.citusdata.comwww.ehcache.orgfirebase.google.com/­products/­realtime-databaselinter.ru/­en
Technical documentationdocs.citusdata.comwww.ehcache.org/­documentationfirebase.google.com/­docs/­database
DeveloperTerracotta Inc, owned by Software AGGoogle infoacquired by Google 2014relex.ru/­en
Initial release2010200920121990
Current release8.1, December 20183.8.0, July 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC and C++
Server operating systemsLinuxAll OS with a Java VMhostedAIX
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCacheAndroid
iOS
JavaScript API
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
JavaJava
JavaScript
Objective-C
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.nolimited functionality with using 'rules'yes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesyes infoCache Event ListenersCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsyes infoby using Terracotta ServerMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
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-standardnoyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
CitusEhcacheFirebase Realtime DatabaseLinter
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Recent citations in the news

Microsoft acquires Citus Data for its open source PostgreSQL tool
24 January 2019, VentureBeat

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Microsoft Acquires Citus Data to Dive Deeper into Postgres
30 January 2019, eWeek

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23 January 2020, openPR

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20 June 2019, ZDNet

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