TDengine Blog


TDengine 3.0 Data Subscription

Avatar
TDengine Team
/
TDengine provides data subscription and consumption interfaces similar to message queue products. This article describes how to use data subscription.

TDengine Concepts: Connectors

Avatar
TDengine Team
/
When you create your applications, you can use connectors to establish a connection to your TDengine cluster and perform query and insert operations as needed.

Modernizing Industry Data Solutions

Avatar
TDengine Team
/
The sensors in modern industrial facilities constantly generate huge volumes of timestamped data – a perfect use case for a time-series database.

TDengine Concepts: User-Defined Functions (UDF)

Avatar
TDengine Team
/
You can define custom functions for use in TDengine queries. These are known as user-defined functions (UDF). A user-defined function takes one column of data or the result of a subquery as its input.

What Is the Industrial Internet of Things (IIoT)?

Avatar
TDengine Team
/
IoT technology applied to industry is known as the Industrial Internet of Things (IIoT) and represents the digitalization of the elements of production.

Expand Your Data Historian with the TDengine PI Connector

Avatar
TDengine Team
/
The TDengine Team is proud to announce the TDengine PI Connector, a simple but powerful solution to expand PI data historians with modern analytics products.

Easy Time-Series Analysis with TDengine

Chait Diwadkar
Chait Diwadkar
/
With built-in SQL functions and extensions for time-series analysis, it is easy to perform simple analyses on your time-series data. Results are available in seconds, not minutes and hours.

TDengine listed in The Information’s Top 50 Most Promising Startups 2022

Avatar
TDengine Team
/
Today TDengine was named one of the Top 50 Most Promising Startups by The Information.

TDengine now supports macOS

Avatar
TDengine Team
/
With version 3.0.1.5, TDengine offers support for macOS in addition to Linux and Windows.

Compressing time series data

Hui Li
Hui Li
/
One of the characteristics of time series data is that it is particularly suitable for compression. In essence, this process trades compute time for storage space.