TDengine＆nbsp; × Intel edge insight software package accelerates the digital transformation of traditional industries

TDengine

  Already supports industrial Intel   Edge insight package   To accelerate the digital transformation of traditional industries , Intel introduced industrial Intel   Marginal insight （Intel Edge Insights for Industrial, hereinafter referred to as  EII） software package . as everyone knows , In many aspects of industrial production , Will produce a lot of

Timing data

（Time-Series Data）, Data is wealth , Through a comprehensive analysis of these data , It is possible to mine information that is very helpful for business decision-making , So as to further create value 、 Improve efficiency .

EII  Can be in  Docker  Up operation , To separate infrastructure from applications , Enable users to develop faster .

Its official description is as follows ：

（ picture source ：

Industrial Intel   Edge insight package

）

Industrial Intel   Edge insight packages are software stacks that have been validated in production environments , It can be safely extracted at the edge 、 Analyze and store video and timing data . As can be seen from the above architecture diagram , It is also very easy to write your own algorithm model on the software package .

TDengine  It is open source developed by Taosi data 、 High performance 、 Distributed 、 Support  SQL  Of

Time series database

（

Time Series Database

）, In the Internet of things 、 Industrial Internet 、 Car networking 、IT  Operation and maintenance 、 energy 、 Finance and so on .

• Through innovative storage engine design , Whether it's data writing or query ,TDengine  The performance of is faster than that of general database  10  More than times , It is also far superior to other time series databases , And the storage space is greatly saved .

• Through native distributed design ,TDengine  Provides the ability to scale horizontally , Only adding nodes can obtain stronger data processing capacity , At the same time, the high availability of the system is guaranteed through the multi copy mechanism .

• TDengine  use  SQL  As a data query language , Reduce learning and migration costs , At the same time provide  SQL  Extended to handle time series data specific analysis , And support convenient and flexible  schemaless  Data writing .

Temporal data processing is  EII  Important modules in . To support the storage and analysis of time series data , at present  EII  The time series database used is  InfluxDB. Follow  InfluxDB  comparison ,TDengine  It has obvious advantages in performance and compression ratio . For specific comparison, please refer to relevant test reports ：《

TDengine  and  InfluxDB  Write the performance comparison test report 》

and

《TDengine  and  InfluxDB  Query the performance comparison test report 》

. therefore , Taosi data's engineers try to  TDengine  Introduced  EII, The time series data can be saved in this more efficient time series database , Improve processing efficiency and reduce costs .

introduce  TDengine  after , The specific data flow is as follows ：

Interested readers can refer to it  Intel  On the website

The related documents

To use  EII + TDengine. Readers can refer to this document , Build your own  Docker  Mirror image . function  EII  after , have access to  Telegraf  To collect timing data , Keep it in  TDengine  In , And then you can use  Grafana  View... Graphically .

Want to know more

TDengine Database

Specific details of , Welcome to

GitHub

View the relevant source code on .