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DBMS > TDengine

TDengine Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit TDengine zu vergleichen.

Unsere Besucher vergleichen TDengine oft mit InfluxDB, TimescaleDB und ClickHouse.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameTDengine
KurzbeschreibungTime Series DBMS and big data platform
Primäres DatenbankmodellTime Series DBMS
Sekundäre DatenbankmodelleRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,60
Rang#155  Overall
#13  Time Series DBMS
Websitegithub.com/­taosdata/­TDengine
tdengine.com
Technische Dokumentationdocs.tdengine.com
EntwicklerTDEngine, previously Taos Data
Erscheinungsjahr2019
Aktuelle Version3.0, August 2022
Lizenz infoCommercial or Open SourceOpen Source infoGPL V3, also commercial editions available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC
Server BetriebssystemeLinux
Windows
Datenschemaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
Sekundärindizesnein
SQL infoSupport of SQLStandard SQL with extensions for time-series applications
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresnein
Triggersyes, via alarm monitoring
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja
Fremdschlüssel inforeferenzielle Integritätnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
Berechtigungskonzept infoZugriffskontrolleyes
Weitere Informationen bereitgestellt vom Systemhersteller
TDengine
Specific characteristics

TDengine™ is an open-source, cloud-native time-series database (TSDB) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time ingestion, processing, and monitoring of terabytes and even petabytes of data per day, generated by billions of sensors and data collectors. With its built-in caching, stream processing, and data subscription capabilities, TDengine offers a simplified solution for time-series data processing.

Competitive advantages
  • High performance: TDengine is the only time-series database that solves the high-cardinality issue, supporting billions of data collection points while outperforming other time-series databases in data ingestion, querying and compression.
  • Simplified solution: Through built-in caching, stream processing, and data subscription features, TDengine provides a simplified solution for time-series data processing that significantly reduces system design complexity and operational costs.
  • Cloud native: Through native distributed design, sharding and partitioning, separation of compute and storage, RAFT, support for kubernetes deployment and full observability, TDengine can be deployed on public, private or hybrid clouds.
  • Open source: The core components of TDengine, including clustering, are all available under open-source licenses. It has an active developer community with over 19,000 stars on GitHub and over 150,000 instances running worldwide.
  • Ease of use: TDengine significantly reduces the effort to deploy and maintain a time-series database. It provides a simple interface and seamless integrations for third-party tools, giving users and developers easy access to data.
  • Easy data analytics: Through supertables, storage and compute separation, data partitioning by time interval, pre-computation, and other means, TDengine makes it easy to explore, format, and get access to data in a highly efficient way.
Typical application scenarios
  • Internet of Things (IoT)
  • Industrial Internet (IIoT)
  • Connected Cars
  • DevOps
  • Energy
  • Fintech

For more information, see TDengine Use Cases.

Market metrics

TDengine has garnered over 19,000 stars on GitHub and is used in over 50 countries worldwide with hundreds of new instances being deployed each day.

Licensing and pricing models
  • TDengine Community Edition is open-source software released under the AGPL 3.0 that includes all core features required to process time-series data efficiently.
  • TDengine Cloud Edition is a fully managed serverless platform for time-series data enabling instant deployment, elastic scale, and simplified management.
  • TDengine Enterprise Edition is a carrier-grade product that can meet the challenges of big data with superior scalability, uptime, performance, and agility.

For more information, see TDengine Products.

Visit cloud.tdengine.com to register for a free cloud account.

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Weitere Ressourcen
TDengine
Erwähnungen in aktuellen Nachrichten

New TDengine Connector Replicates Legacy PI Data into Modern Clouds with Just a Few Clicks
7. November 2022, GlobeNewswire

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

TDengine Releases TDengine Cloud
20. September 2022, Datanami

TDengine Cloud released to developers
19. Oktober 2022, App Developer Magazine

Real-time Analytics News for Week Ending November 12
13. November 2022, rtinsights.com

bereitgestellt von Google News

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