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DBMS > Cubrid vs. Elasticsearch vs. GigaSpaces vs. searchxml vs. Teradata

System Properties Comparison Cubrid vs. Elasticsearch vs. GigaSpaces vs. searchxml vs. Teradata

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonElasticsearch  Xexclude from comparisonGigaSpaces  Xexclude from comparisonsearchxml  Xexclude from comparisonTeradata  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 metricHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDBMS for structured and unstructured content wrapped with an application serverA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSSearch engineDocument store
Object oriented DBMS infoValues are user defined objects
Native XML DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Time Series 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
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.elastic.co/­elasticsearchwww.gigaspaces.comwww.searchxml.net/­category/­productswww.teradata.com
Technical documentationcubrid.org/­manualswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlwww.searchxml.net/­support/­handoutsdocs.teradata.com
DeveloperCUBRID Corporation, CUBRID FoundationElasticGigaspaces Technologiesinformationpartners gmbhTeradata
Initial release20082010200020151984
Current release11.0, January 20218.6, January 202315.5, September 20201.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJavaJava, C++, .NetC++
Server operating systemsLinux
Windows
All OS with a Java VMLinux
macOS
Solaris
Windows
Windowshosted
Linux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML can be used for describing objects metadatayesyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesSQL-like query languageSQL-99 for query and DML statementsnoyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
WebDAV
XQuery
XSLT
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
.Net
C++
Java
Python
Scala
C++ infomost other programming languages supported via APIsC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresyesyesyes infoon the application serveryes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes infoby using the 'percolation' featureyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoMap-Reduce pattern can be built with XAP task executorsnono
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 infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noMemcached and Redis integrationyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

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More resources
CubridElasticsearchGigaSpacessearchxmlTeradata
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