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DBMS > Cubrid vs. Lovefield vs. NuoDB vs. Sphinx vs. YottaDB

System Properties Comparison Cubrid vs. Lovefield vs. NuoDB vs. Sphinx vs. YottaDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonLovefield  Xexclude from comparisonNuoDB  Xexclude from comparisonSphinx  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEmbeddable relational database for web apps written in pure JavaScriptNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen source search engine for searching in data from different sources, e.g. relational databasesA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
google.github.io/­lovefieldwww.3ds.com/­nuodb-distributed-sql-databasesphinxsearch.comyottadb.com
Technical documentationcubrid.org/­manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.nuodb.comsphinxsearch.com/­docsyottadb.com/­resources/­documentation
DeveloperCUBRID Corporation, CUBRID FoundationGoogleDassault Systèmes infooriginally NuoDB, Inc.Sphinx Technologies Inc.YottaDB, LLC
Initial release20082014201320012001
Current release11.0, January 20212.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infolimited edition freeOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaScriptC++C++C
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 fieldsno
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternyesSQL-like query language (SphinxQL)by using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary protocolPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresJava Stored ProceduresnoJava, SQLno
TriggersyesUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonedata is dynamically stored/cached on the nodes where it is read/writtenSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoManaged transparently by NuoDBnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infotunable commit protocolnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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.noyes infousing MemoryDByes infoTemporary tableyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoStandard SQL roles/ privileges, Administrative UsersnoUsers and groups based on OS-security mechanisms

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More resources
CubridLovefieldNuoDBSphinxYottaDB
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