TDengine Blog

View the latest articles about industrial data processing

China Mobile IoT Reduces Storage Resources by over 80% for Connected Car Data
Learn how China Mobile IoT benefitted by migrating their connected cars location data from MySQL to TDengine.
Chao Xue (China Mobile IoT)
Chao Xue (China Mobile IoT)
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Case Studies, Connected Cars
Simplified, Efficient Monitoring and Storage of Industrial Equipment Metrics
HeyGears selected TDengine to handle time-series data storage and processing for its 3D printing devices.
Daluo (HeyGears)
Daluo (HeyGears)
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Case Studies, Manufacturing
Enabling Millisecond-Level Response Time for a Massive Time-Series Data Set
POIZON chose TDengine to handle the high write and query loads of its e-commerce platform handling over 10,000 transactions per second.
Lynx (POIZON)
Lynx (POIZON)
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Case Studies
Migrating from OpenTSDB for a Simplified IoT Platform
Facing numerous difficulties with OpenTSDB, RisingStar chose TDengine to upgrade their IoT data processing solution.
Zhongyuan Ai (RisingStar IoT)
Zhongyuan Ai (RisingStar IoT)
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Case Studies, Infrastructure
Building a Platform for Connected Vehicle Data
Compare a Hadoop/Spark-based solution for connected cars with an optimized architecture featuring TDengine.
Shengliang Guan
Shengliang Guan
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Engineering
SF Technology Upgrades Big Data Monitoring Platform
Learn how logistics giant SF Technology used TDengine to upgrade their big data monitoring platform.
Fei Yin (SF Technology)
Fei Yin (SF Technology)
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Case Studies
Why Big Data Platforms Fail in IoT Scenarios
Big data platforms aren't the answer for all large-scale scenarios. IoT and industrial use cases require a new data processing system: a time-series database.
Jeff Tao
Jeff Tao
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Engineering