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DBMS > Kinetica vs. MonetDB vs. OpenQM vs. TDengine vs. TimescaleDB

System Properties Comparison Kinetica vs. MonetDB vs. OpenQM vs. TDengine vs. TimescaleDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTDengine  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA relational database management system that stores data in columnsQpenQM is a high-performance, self-tuning, multi-value DBMSTime Series DBMS and big data platformA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.kinetica.comwww.monetdb.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­taosdata/­TDengine
tdengine.com
www.timescale.com
Technical documentationdocs.kinetica.comwww.monetdb.org/­Documentationdocs.tdengine.comdocs.timescale.com
DeveloperKineticaMonetDB BVRocket Software, originally Martin PhillipsTDEngine, previously Taos DataTimescale
Initial release20122004199320192017
Current release7.1, August 2021Dec2023 (11.49), December 20233.4-123.0, August 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
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++CCC
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesnoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsnoStandard SQL with extensions for time-series applicationsyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, Ryesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesyesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusyesyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelyesfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaMonetDBOpenQM infoalso called QMTDengineTimescaleDB
Specific characteristicsTDengineā„¢ 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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More resources
KineticaMonetDBOpenQM infoalso called QMTDengineTimescaleDB
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