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DBMS > Cubrid vs. IRONdb vs. Kdb vs. Lovefield vs. Sphinx

System Properties Comparison Cubrid vs. IRONdb vs. Kdb vs. Lovefield vs. Sphinx

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonIRONdb  Xexclude from comparisonKdb  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh performance Time Series DBMSEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.circonus.com/solutions/time-series-database/kx.comgoogle.github.io/­lovefieldsphinxsearch.com
Technical documentationcubrid.org/­manualsdocs.circonus.com/irondb/category/getting-startedcode.kx.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationCirconus LLC.Kx Systems, a division of First Derivatives plcGoogleSphinx Technologies Inc.
Initial release200820172000 infokdb was released 2000, kdb+ in 200320142001
Current release11.0, January 2021V0.10.20, January 20183.6, May 20182.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree 32-bit versionOpen Source infoApache 2.0Open 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++, JavaC and C++qJavaScriptC++
Server operating systemsLinux
Windows
LinuxLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesno
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.nonoyesno
Secondary indexesyesnoyes infotable attribute 'grouped'yesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (q)SQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresyes, in Luauser defined functionsnono
Triggersyesnoyes infowith viewsUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodehorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter awareSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.nonoyesyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardnorights management via user accountsnono
More information provided by the system vendor
CubridIRONdbKdbLovefieldSphinx
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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CubridIRONdbKdbLovefieldSphinx
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