TDengine Blog

View the latest articles about industrial data processing

TDengine Helps Lotus Expand Data Infrastructure
TDengine is delighted to announce that it has been engaged by Lotus Technology, the owner of Lotus Cars, to provide data services for its worldwide business.
Avatar
TDengine Team
|
News, Featured
Balancing Reliability & Cost: Mastering TDengine’s Dual-Replica and Active-Active Solutions
Discover how TDengine’s Dual-Replica and Active-Active solutions balance cost, reliability, and availability for efficient time-series data management.
Chait Diwadkar
Chait Diwadkar
|
Engineering, Featured
Reducing Energy Costs by 90%: The Future of Battery Manufacturing with TDengine
TDengine cuts costs by 86%, reducing energy consumption by 90% and simplifying data management, boosting battery production efficiency.
Sun Yu
Sun Yu
|
Featured, Case Studies
By 2025, Who’s Still Not Using REAL Stream Processing?
While InfluxDB offers basic stream processing, TDengine delivers true real-time capabilities for high-frequency data.
Chait Diwadkar
Chait Diwadkar
|
TDengine vs. InfluxDB, Featured
Count on It! How TDengine’s Stream Processing Enhances Real-Time Data Handling
The addition of the count window provides users with more flexible and efficient data handling capabilities.
Chait Diwadkar
Chait Diwadkar
|
Engineering, Featured
Cache In, Speed Out: InfluxDB vs. TDengine in Real-Time Data
Unlike TDengine, InfluxDB lacks a dedicated read cache for data retrieval.
Jim Fan
Jim Fan
|
TDengine vs. InfluxDB, Featured
Powering Predictive Maintenance with a High-Performance Time-Series Database
Download our special report to understand the challenges that predictive maintenance poses to industrial data infrastructure and how to resolve them.
Jim Fan
Jim Fan
|
Featured, Predictive Maintenance
TDengine Enables Alerting and Predictive Maintenance for IoT Motor Platform
To accommodate business growth and overcome difficulties with predictive maintenance, an electric motor company migrated their IoT platform to TDengine.
Chait Diwadkar
Chait Diwadkar
|
Case Studies, Featured
Managing High-Frequency Vibration Data: Why You Need a Time-Series Database
Managing high-frequency vibration data is crucial yet challenging for industrial applications. Learn how you can overcome the challenges.
Jim Fan
Jim Fan
|
Predictive Maintenance, Featured
TDengine Powers Vibration Data Analysis and Fault Prediction at Hydroelectric Plant
TDengine was deployed at a hydroelectric power operator as part of a monitoring system to ingest and process high-frequency data.
Chait Diwadkar
Chait Diwadkar
|
Case Studies, Featured