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DBMS > Apache Phoenix vs. Brytlyt vs. Cubrid vs. Elasticsearch

System Properties Comparison Apache Phoenix vs. Brytlyt vs. Cubrid vs. Elasticsearch

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonCubrid  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Websitephoenix.apache.orgbrytlyt.iocubrid.com (korean)
cubrid.org (english)
www.elastic.co/­elasticsearch
Technical documentationphoenix.apache.orgdocs.brytlyt.iocubrid.org/­manualswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperApache Software FoundationBrytlytCUBRID Corporation, CUBRID FoundationElastic
Initial release2014201620082010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 202311.0, January 20218.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoElastic License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC, C++, JavaJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
Windows
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesyesSQL-like query language
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLJava Stored Proceduresyes
Triggersnoyesyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesnoMemcached and Redis integration
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-standard

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Apache PhoenixBrytlytCubridElasticsearch
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