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DBMS > Cubrid vs. Google Cloud Datastore vs. Lovefield vs. Memcached vs. mSQL

System Properties Comparison Cubrid vs. Google Cloud Datastore vs. Lovefield vs. Memcached vs. mSQL

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonMemcached  Xexclude from comparisonmSQL infoMini SQL  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 PlatformEmbeddable relational database for web apps written in pure JavaScriptIn-memory key-value store, originally intended for cachingmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeRelational 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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­datastoregoogle.github.io/­lovefieldwww.memcached.orghughestech.com.au/­products/­msql
Technical documentationcubrid.org/­manualscloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdgithub.com/­memcached/­memcached/­wiki
DeveloperCUBRID Corporation, CUBRID FoundationGoogleGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHughes Technologies
Initial release20082008201420031994
Current release11.0, January 20212.1.12, February 20171.6.25, March 20244.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoBSD licensecommercial infofree licenses can be provided
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++, JavaJavaScriptCC
Server operating systemsLinux
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyesnoyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocolJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresusing Google App Enginenonono
TriggersyesCallbacks using the Google Apps EngineUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosnonenone infoRepcached, a Memcached patch, provides this functionallitynone
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.none
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBno
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)noyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
CubridGoogle Cloud DatastoreLovefieldMemcachedmSQL infoMini SQL
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