TDengine | Handle Data With Open Source Big Data Framework
Big Data Framework

TDengine Free Big Data Tool

Free Big Data Framework For Internet of Things (IoT)

Open Source big data platform for handling historical data and real-time data. It provides SQL like query language and supports C/C++, Java, Python, and more.

TDengine is an open source big data framework. It is a big data system designed for the Internet of things (IoT). It is a highly scalable, reliable, and high-performance free big data platform for the processing of large-scale data. TDengine comes with features such as caching, stream computing, message queuing, and many more for reducing development and operation costs. It serves as a relational database and a fast platform for storing, querying, and analyzing time-series data. Because of its storage design, this open source big data platform is at least 10 times faster than other databases. On a single-core machine, TDengine can handle up to 20K queries per second and retrieve up to 10 million data points per second.

TDengine provides a robust data analysis tool that allows companies to do Ad Hoc queries or analyzes using the TDengine shell, Python, R, or Matlab. Developers can swiftly install and run it. Further, there are no other dependencies. Moreover, Standard SQL can be used with connectors including C/C++, Java, Python, Go, RESTful, and Node.JS. This big data framework can be easily integrated with other tools without a single line of code including Telegraf, Grafana, Matlab, R MQTT, OPC, Hadoop, Spark, and many more. TDengine is developed in C, Python, Java and comes with all the documentation regarding development and deployment. The license for this open source big data platform is AGPL-3.0.

System Requirements

In order to install TDengine, you must have the following softwares:

  • Java 8 or greater


Following are the key features of TDengine:

  • Free and open source
  • Powerful data analysis
  • Support integration with other tools
  • 10x Faster on Insert/Query Speeds
  • Full Stack for Time-Series Data
  • Consume less computing resources
  • Optimize for Internet of Things (IoT)
  • Stream computing
  • Message queuing
  • Cost-Effective


Installing using Snap store on Ubuntu

Snap is already installed, if you are running Ubuntu 16.04 or above. However, you can install it on Ubuntu 14.04 with below command.

$ sudo apt install snapd

Run the following command to install TDengine.

$ sudo snap install tdengine

Installing on Ubuntu

Download TDengine-server- file from

Run the following commands to install the TDengine:

$ sudo dpkg -i TDengine-server-
$ sudo apt-get install -f

Start the TDengine service.

$ sudo systemctl start taosd

Command to launch TDengine shell.

$ taos


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