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DBMS > Apache Kylin vs. Citus vs. EsgynDB vs. Firebase Realtime Database vs. Linter

System Properties Comparison Apache Kylin vs. Citus vs. EsgynDB vs. Firebase Realtime Database vs. Linter

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCitus  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCloud-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 DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#170  Overall
#77  Relational DBMS
Score1.96
Rank#119  Overall
#58  Relational DBMS
Score0.15
Rank#325  Overall
#145  Relational DBMS
Score13.43
Rank#39  Overall
#6  Document stores
Score0.00
Rank#386  Overall
#159  Relational DBMS
Websitekylin.apache.orgwww.citusdata.comwww.esgyn.cnfirebase.google.com/­products/­realtime-databaselinter.ru
Technical documentationkylin.apache.org/­docsdocs.citusdata.comfirebase.google.com/­docs/­database
DeveloperApache Software Foundation, originally contributed from eBay IncEsgynGoogle infoacquired by Google 2014relex.ru
Initial release20152010201520121990
Current release3.1.0, July 20208.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++, JavaC and C++
Server operating systemsLinuxLinuxLinuxhostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesyesschema-freeyes
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.noyes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infostandard, with numerous extensionsyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Android
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
All languages supporting JDBC/ODBC/ADO.NetJava
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.Java Stored Procedureslimited functionality with using 'rules'yes infoproprietary syntax with the possibility to convert from PL/SQL
TriggersyesnoCallbacks are triggered when data changesyes
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 replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
Apache KylinCitusEsgynDBFirebase Realtime DatabaseLinter
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