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DBMS > Apache Phoenix vs. Citus vs. EsgynDB vs. Realm vs. STSdb

System Properties Comparison Apache Phoenix vs. Citus vs. EsgynDB vs. Realm vs. STSdb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCitus  Xexclude from comparisonEsgynDB  Xexclude from comparisonRealm  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitephoenix.apache.orgwww.citusdata.comwww.esgyn.cnrealm.iogithub.com/­STSSoft/­STSdb4
Technical documentationphoenix.apache.orgdocs.citusdata.comrealm.io/­docs
DeveloperApache Software FoundationEsgynRealm, acquired by MongoDB in May 2019STS Soft SC
Initial release20142010201520142011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 20184.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availablecommercialOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++, JavaC#
Server operating systemsLinux
Unix
Windows
LinuxLinuxAndroid
Backend: server-less
iOS
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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 functionalitynono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsyesnono
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Proceduresno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication between multi datacentersnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonoyes infoIn-Memory realm
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno

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Apache PhoenixCitusEsgynDBRealmSTSdb
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