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

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

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSphinx  Xexclude from comparisonYDB  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 CouchDBOpen source search engine for searching in data from different sources, e.g. relational databasesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSDocument storeSearch engineDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score2.73
Rank#108  Overall
#20  Document stores
Score6.03
Rank#60  Overall
#6  Search engines
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.ibm.com/­products/­cloudantsphinxsearch.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcubrid.org/­manualscloud.ibm.com/­docs/­Cloudantsphinxsearch.com/­docsydb.tech/­en/­docs
DeveloperCUBRID Corporation, CUBRID FoundationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Sphinx Technologies Inc.Yandex
Initial release2008201020012019
Current release11.0, January 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaErlangC++
Server operating systemsLinux
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)SQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIProprietary protocolRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresJava Stored ProceduresView functions (Map-Reduce) in JavaScriptnono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasenoAccess rights defined for Yandex Cloud users

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More resources
CubridIBM CloudantSphinxYDB
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