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DBMS > Kdb vs. MonetDB vs. Sphinx vs. TDengine

System Properties Comparison Kdb vs. MonetDB vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitekx.comwww.monetdb.orgsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcode.kx.comwww.monetdb.org/­Documentationsphinxsearch.com/­docsdocs.tdengine.com
DeveloperKx Systems, a division of First Derivatives plcMonetDB BVSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2000 infokdb was released 2000, kdb+ in 2003200420012019
Current release3.6, May 2018Dec2023 (11.49), December 20233.5.1, February 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqCC++C
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesno
Secondary indexesyes infotable attribute 'grouped'yesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query language (q)yes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
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 proceduresuser defined functionsyes, in SQL, C, Rnono
Triggersyes infowith viewsyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding via remote tablesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
KdbMonetDBSphinxTDengine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
TDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
TDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» 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
TDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsupon request
» more
TDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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More resources
KdbMonetDBSphinxTDengine
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