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DBMS > Cubrid vs. HugeGraph vs. Informix vs. mSQL vs. Sphinx

System Properties Comparison Cubrid vs. HugeGraph vs. Informix vs. mSQL vs. Sphinx

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHugeGraph  Xexclude from comparisonInformix  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 OLTPA fast-speed and highly-scalable Graph DBMSA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things datamSQL (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 DBMSGraph DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score18.85
Rank#35  Overall
#22  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
github.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­informixhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationcubrid.org/­manualshugegraph.apache.org/­docsinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
sphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationBaiduIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Hughes TechnologiesSphinx Technologies Inc.
Initial release20082018198419942001
Current release11.0, January 20210.914.10.FC5, November 20204.4, October 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree developer edition availablecommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
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++, JavaJavaC, C++ and JavaCC++
Server operating systemsLinux
Windows
Linux
macOS
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesno
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 infoalso supports composite index and range indexyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyesA 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
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 Proceduresasynchronous Gremlin script jobsyesnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsUsers with fine-grained authentication, authorization, and auditing controlsnono

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More resources
CubridHugeGraphInformixmSQL infoMini SQLSphinx
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