DBMS > TDengine

TDengine System Properties

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Editorial information provided by DB-Engines

Name

Description

Time Series DBMS and big data platform

Primary database model

Time Series DBMS

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.68
Rank	#109	Overall
	#8	Time Series DBMS

Website

github.com/taosdata/TDengine
tdengine.com

Technical documentation

docs.tdengine.com

Developer

TDEngine, previously Taos Data

Initial release

2019

Current release

3.0, August 2022

License

Commercial or Open Source

Open Source

GPL V3, also commercial editions available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

Linux
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

Standard SQL with extensions for time-series applications

APIs and other access methods

JDBC
RESTful HTTP API

Supported programming languages

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust

Server-side scripts

Stored procedures

Triggers

yes, via alarm monitoring

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Foreign keys

Referential integrity

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

yes

More information provided by the system vendor

Specific characteristics

TDengine™ is a next generation data historian purpose-built for Industry 4.0 and Industrial IoT. It enables real-time data ingestion, storage, analysis, and distribution of petabytes per day, generated by billions of sensors and data collectors. With TDengine making big data affordable and accessible, digital transformation has never been easier.

Competitive advantages

High Performance at any Scale: TDengine is purpose-built for handling massive industrial datasets, and benchmark results show that it delivers higher ingestion, querying, and compression performance than similar products.
Open Ecosystem to Drive Innovation: TDengine is built on an open source core and easily integrates with the latest visualization, business intelligence, and AI tools through standardized interfaces.
Big Data Without Big Cost: TDengine provides transparent, predictable pricing based on the number of compute resources that you require and simplifies your system with its built-in stream processing, caching, and data subscription.
Start in 60 Seconds: With standard SQL support, zero-code integration with a variety of data sources, and connectors for popular programming languages, TDengine makes digital transformation easier than ever.

Typical application scenarios

TDengine is designed for Industrial IoT scenarios, including:

Connectors are available for a variety of industrial data sources such as PI System, Wonderware Historian, OPC, and MQTT.

Market metrics

TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries worldwide with hundreds of new installations each day.

Licensing and pricing models

TDengine OSS is an open source, cloud native time series database. It includes built-in stream processing, caching, and data subscription, forming a simplified solution for time series data.
TDengine Enterprise is a next generation data historian for Industry 4.0 and the Industrial IoT. Built on the open source TDengine OSS, it delivers an enterprise-grade feature set tailored to the needs of traditional industries.
TDengine Cloud is a fully managed cloud service for industrial big data, providing all features of TDengine Enterprise as a cloud platform.

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Related products and services

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More resources

Recent citations in the news

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

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

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

provided by Google News

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