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DBMS > Cubrid vs. SingleStore

System Properties Comparison Cubrid vs. SingleStore

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Our visitors often compare Cubrid and SingleStore with Couchbase, PostgreSQL and MySQL.

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.singlestore.com
Technical documentationcubrid.org/­manualsdocs.singlestore.com
DeveloperCUBRID Corporation, CUBRID FoundationSingleStore Inc.
Initial release20082013
Current release11.0, January 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++, Go
Server operating systemsLinux
Windows
Linux info64 bit version required
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
SQL infoSupport of SQLyesyes infobut no triggers and foreign keys
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained access control via users, groups and roles

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More resources
CubridSingleStore infoformer name was MemSQL
DB-Engines blog posts

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17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

CUBRID: A FOSS RDBMS to Realise Your Next Big Idea
26 April 2018, Open Source For You

provided by Google News

SingleStore Now Returns to the Chase Center, Diving Deeper Into Building Intelligent Applications at Enterprise Scale
5 September 2024, Business Wire

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

SingleStore makes it easier for firms to put Iceberg data to work
27 June 2024, Blocks & Files

SingleStore Turbocharges Data Lakehouses with Iceberg Support and Faster Vector Search
28 June 2024, Datanami

provided by Google News



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