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DBMS > Cubrid vs. Elasticsearch vs. Transwarp KunDB

System Properties Comparison Cubrid vs. Elasticsearch vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonElasticsearch  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionCUBRID 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 metricOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.elastic.co/­elasticsearchwww.transwarp.cn/­en/­product/­kundb
Technical documentationcubrid.org/­manualswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperCUBRID Corporation, CUBRID FoundationElasticTranswarp
Initial release20082010
Current release11.0, January 20218.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava
Server operating systemsLinux
Windows
All OS with a Java VM
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesC
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 proceduresJava Stored Proceduresyesyes
Triggersyesyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
CubridElasticsearchTranswarp KunDB
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