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DBMS > Cubrid vs. Hazelcast vs. Lovefield vs. Percona Server for MongoDB vs. Sphinx

System Properties Comparison Cubrid vs. Hazelcast vs. Lovefield vs. Percona Server for MongoDB vs. Sphinx

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHazelcast  Xexclude from comparisonLovefield  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA widely adopted in-memory data gridEmbeddable relational database for web apps written in pure JavaScriptA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument storeSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
hazelcast.comgoogle.github.io/­lovefieldwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsphinxsearch.com
Technical documentationcubrid.org/­manualshazelcast.org/­imdg/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.percona.com/­percona-distribution-for-mongodbsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationHazelcastGooglePerconaSphinx Technologies Inc.
Initial release20082008201420152001
Current release11.0, January 20215.3.6, November 20232.1.12, February 20173.4.10-2.10, November 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL Version 2Open 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++, JavaJavaJavaScriptC++C++
Server operating systemsLinux
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language infovia JavaScript builder patternnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
proprietary protocol using JSONProprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoEvent Listeners, Executor ServicesnoJavaScriptno
Triggersyesyes infoEventsUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated MapnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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.noyesyes infousing MemoryDByes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlnoAccess rights for users and rolesno

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More resources
CubridHazelcastLovefieldPercona Server for MongoDBSphinx
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