TDengine Blog
View the latest articles about time-series databases and industrial data processing
InfluxDB Ingests Data 16x Slower than TDengine
InfluxDB just can't keep up with the data needs of growing industrial enterprises
Chait Diwadkar
February 4, 2025 | TDengine vs. InfluxDB
InfluxDB: No Clustering for Open Source Users
TDengine fully open-sourced its clustering, while InfluxDB restricted it to a paid enterprise version.
Chait Diwadkar
February 2, 2025 | TDengine vs. InfluxDB
InfluxDB’s Three-Language Problem
InfluxDB wastes developers' time by pivoting on its query language
Chait Diwadkar
January 31, 2025 | TDengine vs. InfluxDB
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?
Explore what time-series databases are, how they work, and why TDengine outperforms others for IoT and industrial data.
Jeff Tao
January 23, 2025 | Time-Series Database Essentials
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
