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DBMS > Cubrid vs. Lovefield vs. RDFox vs. Sphinx vs. TDengine

System Properties Comparison Cubrid vs. Lovefield vs. RDFox vs. Sphinx vs. TDengine

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonLovefield  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  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 JavaScriptHigh performance knowledge graph and semantic reasoning engineOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Search engineTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
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
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score5.98
Rank#56  Overall
#5  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitecubrid.com (korean)
cubrid.org (english)
google.github.io/­lovefieldwww.oxfordsemantic.techsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcubrid.org/­manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oxfordsemantic.techsphinxsearch.com/­docsdocs.tdengine.com
DeveloperCUBRID Corporation, CUBRID FoundationGoogleOxford Semantic TechnologiesSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release20082014201720012019
Current release11.0, January 20212.1.12, February 20176.0, Septermber 20223.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
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, SafariLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonono
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnoSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptC
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresJava Stored Proceduresnonono
TriggersyesUsing read-only observersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonereplication via a shared file systemnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRoles, resources, and access typesnoyes
More information provided by the system vendor
CubridLovefieldRDFoxSphinxTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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