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DBMS > Kinetica vs. OpenQM vs. TDengine

System Properties Comparison Kinetica vs. OpenQM vs. TDengine

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.33
Rank#286  Overall
#10  Multivalue DBMS
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Websitewww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.kinetica.comdocs.tdengine.com
DeveloperKineticaRocket Software, originally Martin PhillipsTDEngine, previously Taos Data
Initial release201219932019
Current release7.1, August 20213.4-123.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights can be defined down to the item levelyes
More information provided by the system vendor
KineticaOpenQM infoalso called QMTDengine
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
KineticaOpenQM infoalso called QMTDengine
Recent citations in the news

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google News

TDengine and Casne Engineering Partner to Drive Innovation in Industrial IoT
5 April 2023, GlobeNewswire

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

TDengine 3.0 Introduces Cloud Native Architecture to Simplify Large-scale Time-Series Data Operations in IoT
23 August 2022, Yahoo Finance

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, GlobeNewswire

provided by Google News



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