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DBMS > Cubrid vs. Elasticsearch vs. FeatureBase

System Properties Comparison Cubrid vs. Elasticsearch vs. FeatureBase

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonElasticsearch  Xexclude from comparisonFeatureBase  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 metricReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
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
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score0.26
Rank#304  Overall
#138  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.elastic.co/­elasticsearchwww.featurebase.com
Technical documentationcubrid.org/­manualswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.featurebase.com
DeveloperCUBRID Corporation, CUBRID FoundationElasticMolecula and Pilosa Open Source Contributors
Initial release200820102017
Current release11.0, January 20218.6, January 20232022, May 2022
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++, JavaJavaGo
Server operating systemsLinux
Windows
All OS with a Java VMLinux
macOS
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like query languageSQL queries
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
gRPC
JDBC
Kafka Connector
ODBC
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
Java
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes
Triggersyesyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connector
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, all
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsync
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
CubridElasticsearchFeatureBase
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