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DBMS > Cubrid vs. IBM Db2 Event Store vs. mSQL vs. Sphinx

System Properties Comparison Cubrid vs. IBM Db2 Event Store vs. mSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed Event Store optimized for Internet of Things use casesmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#151  Overall
#73  Relational DBMS
Score0.43
Rank#248  Overall
#2  Event Stores
#17  Time Series DBMS
Score1.67
Rank#133  Overall
#64  Relational DBMS
Score7.75
Rank#54  Overall
#5  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationcubrid.org/­manualswww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationIBMHughes TechnologiesSphinx Technologies Inc.
Initial release2008201719942001
Current release11.0, January 20212.04.3, October 20203.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infofree developer edition availablecommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC and C++CC++
Server operating systemsLinux
Windows
Linux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresyesnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutablenoyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
CubridIBM Db2 Event StoremSQL infoMini SQLSphinx
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