TDengine Blog

View the latest articles about industrial data processing

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
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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
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InfluxDB vs. TDengine, 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
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Featured, Predictive Maintenance
InfluxDB OSS: Broken by Design
TDengine fully open-sourced its clustering, while InfluxDB restricted it to a paid enterprise version.
Chait Diwadkar
Chait Diwadkar
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InfluxDB vs. TDengine, Featured
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
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Case Studies, Featured
InfluxDB vs. TDengine: Performance Comparison
InfluxDB just can't keep up with the data needs of growing industrial enterprises
Chait Diwadkar
Chait Diwadkar
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InfluxDB vs. TDengine, Featured
InfluxDB Lacks Critical Components for Industry
InfluxDB fails to provide critical components for industrial customers
Jim Fan
Jim Fan
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InfluxDB vs. TDengine, 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
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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
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Case Studies, Featured
Earthshaking Speed: TDengine Ingests 50,000 Seismological Records per Second
TDengine ingests 500 billion data points per day at 100 Hz without performance deterioration for an earthquake research center.
Chait Diwadkar
Chait Diwadkar
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Case Studies, Featured
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