TDengine Blog
View the latest articles about time-series databases and industrial data processing
InfluxDB Lacks Comprehensive Solution for Industry
InfluxDB fails to provide critical components for industrial customers
Jim Fan
January 30, 2025 | TDengine vs. InfluxDB
Industrial Data: Not a Priority for InfluxDB
InfluxDB lacks a built-in, out-of-the-box solution for ingesting industrial data
Jim Fan
January 29, 2025 | TDengine vs. InfluxDB
What Is a Time-Series Database and Why Do I Need One?
A time-series database (TSDB) is a database management system that is optimized to store, process, and analyze time-series data.
Jeff Tao
January 23, 2025 | Time-Series Database
TDengine’s Stream Processing in IoT: Typical Applications in Connected Cars
TDengine’s stream computing delivers real-time insights for predictive maintenance and fleet management in connected vehicles.
Chait Diwadkar
January 20, 2025 | Engineering
TDengine + Manufacturing: How to Achieve Efficient OPC UA Data Integration
Includes a step-by-step for seamlessly integrating OPC UA data in manufacturing, enabling real-time insights.
Chait Diwadkar
January 16, 2025 | Manufacturing, Industrial Data
Accelerating Digital Transformation: The Critical Role of Time-Series Databases
By accelerating digital transformation, TSDBs enable industries to innovate, optimize, and thrive in a data-driven world.
Jim Fan
January 9, 2025 | Manufacturing, Industrial Data
Time-Series Database: Cost-Effective Solution for Modernizing Data Operations in Manufacturing
By adopting time-series databases, manufacturers can overcome the limitations of legacy systems and embrace the opportunities of a data-driven era.
Jim Fan
January 9, 2025 | Manufacturing, Industrial Data
TDengine 3.3.5.0 Release Notes
This article contains the release notes for TDengine 3.3.5.0.
TDengine Team
January 8, 2025 | News
Mastering Python UDFs in TDengine: From Beginner to Pro
A guide to creating and troubleshooting Python UDFs in TDengine, taking you from beginner to expert.
Chait Diwadkar
January 2, 2025 | Engineering
Building a Virtual Power Plant Management System: Pain Points & Best Practices
Amber Optimal's platform uses TDengine to manage large-scale data ingestion, real-time analytics, and algorithm-based analysis for optimized resources.
Jim Fan
December 27, 2024 | Case Studies, Renewable Energy
