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

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

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCubrid  Xexclude from comparisonElasticsearch  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseCUBRID 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 metricNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Relational DBMS
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
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitephoenix.apache.orgcubrid.com (korean)
cubrid.org (english)
www.elastic.co/­elasticsearchwww.sequoiadb.com
Technical documentationphoenix.apache.orgcubrid.org/­manualswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software FoundationCUBRID Corporation, CUBRID FoundationElasticSequoiadb Ltd.
Initial release2014200820102013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.0, January 20218.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaJavaC++
Server operating systemsLinux
Unix
Windows
Linux
Windows
All OS with a Java VMLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.nononono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyesSQL-like query languageSQL-like query language
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJava Stored ProceduresyesJavaScript
Triggersnoyesyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoDocument is locked during a transaction
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 integrationno
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-standardsimple password-based access control

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More resources
Apache PhoenixCubridElasticsearchSequoiadb
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