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DBMS > Cubrid vs. Google Cloud Datastore vs. mSQL vs. Sphinx vs. SWC-DB

System Properties Comparison Cubrid vs. Google Cloud Datastore vs. mSQL vs. Sphinx vs. SWC-DB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engineWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­datastorehughestech.com.au/­products/­msqlsphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationcubrid.org/­manualscloud.google.com/­datastore/­docssphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationGoogleHughes TechnologiesSphinx Technologies Inc.Alex Kashirin
Initial release20082008199420012020
Current release11.0, January 20214.4, October 20213.5.1, February 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaCC++C++
Server operating systemsLinux
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesno
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.nononono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language (GQL)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocolProprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
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
C++
Server-side scripts infoStored proceduresJava Stored Proceduresusing Google App Enginenonono
TriggersyesCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding 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 using Paxosnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.noneImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
CubridGoogle Cloud DatastoremSQL infoMini SQLSphinxSWC-DB infoSuper Wide Column Database
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