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DBMS > Cubrid vs. IBM Cloudant vs. PlanetScale vs. Sphinx

System Properties Comparison Cubrid vs. IBM Cloudant vs. PlanetScale vs. Sphinx

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPlanetScale  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDatabase as a Service offering based on Apache CouchDBScalable, distributed, serverless MySQL database platform built on top of VitessOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.ibm.com/­products/­cloudantplanetscale.comsphinxsearch.com
Technical documentationcubrid.org/­manualscloud.ibm.com/­docs/­Cloudantplanetscale.com/­docssphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014PlanetScaleSphinx Technologies Inc.
Initial release2008201020202001
Current release11.0, January 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaErlangGoC++
Server operating systemsLinux
Windows
hostedDocker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIADO.NET
JDBC
MySQL protocol
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored ProceduresView functions (Map-Reduce) in JavaScriptyes infoproprietary syntaxno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
CubridIBM CloudantPlanetScaleSphinx
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