TDengine Blog
View the latest articles about time-series databases and 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.
TDengine Team
December 16, 2024 | News
Reducing Energy Costs by 90%: The Future of Battery Manufacturing with TDengine
With TDengine, this battery producer can detect anomalies in real time, reduce defects, and ensure long-term consistency in cell performance.
Jim Fan
December 12, 2024 | 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
November 28, 2024 | TDengine vs. InfluxDB
High Availability at Low Cost: Dual-Replica Mode and Active-Active Deployment
TDengine Enterprise includes two solutions for customers looking to achieve high availability at a lower cost: dual-replica mode and active-active deployment.
Chait Diwadkar
November 26, 2024 | Engineering
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
November 20, 2024 | Engineering
Cache In, Speed Out: InfluxDB vs. TDengine in Real-Time Data
Unlike TDengine, InfluxDB lacks a dedicated read cache for data retrieval.
Jim Fan
November 20, 2024 | TDengine vs. InfluxDB
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
November 15, 2024 | Industrial Data, 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
November 12, 2024 | Case Studies
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
November 7, 2024 | Predictive Maintenance, Industrial Data
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
November 4, 2024 | Case Studies
