TDengine for
High-Frequency Data
Ingest and store millions of data points per second with the industry’s fastest time-series database
TDengine efficiently handles high-frequency data ingestion, compresses data to reduce storage costs, and enables fast querying for real-time monitoring and analysis in industrial applications.
Capture Every Moment: High-Frequency Data Made Easy
TDengine’s high-performance architecture is purpose-built for dense, continuous data streams like those from vibration sensors.
TDengine enables seamless, low-latency asset monitoring, ensuring timely insights and proactive management of equipment health.
TDengine lays a solid foundation for predictive maintenance systems by enabling real-time and historical data analysis from industrial sensors.
Challenges of High-Frequency Data
Vibration sensors produce data at a scale that can overwhelm traditional databases.
Storing vast amounts of high-frequency data is often expensive and inefficient.
Integrating with other data systems creates technical challenges and slows down decision-making.
Legacy data platforms lack the scalability and speed to provide immediate access to your data.
How TDengine Can Help
Ingest and store petabytes of data every day from any number of industrial sensors and IoT devices.
Manage growing datasets efficiently with our unique storage engine and advanced data compression.
Capture and process data from a variety of sources with our zero-code OPC and MQTT connectors.
Reduce downtime and prevent equipment failures with ultra-low-latency analytics and processing.
What Our Customers Say
Seismic Data
- 5.8 million data points ingested per second without performance deterioration
- Integer data compressed to as small as to 5% of its original size
- Specialized analytics implemented in the database via user-defined functions
A world-renowned earthquake research center had begun collecting a large volume of seismic waveform data from seismometers in the region. They replaced custom-built Python and C applications with TDengine, reducing the technical complexity of their system and eliminating time-consuming data unpacking operations.
Hydroelectric Power
- Vibration and fault data ingested at 10,000 Hz with no delay
- Query latency on massive-scale dataset within 1 second
- 1.7 TB of data generated per day compressed to 30% with TDengine’s storage engine
A hydroelectric operator was dissatisfied with its current monitoring solution because it failed to provide a comprehensive, multidimensional safety assessment. TDengine was successfully deployed and performed as expected in production at this operator, supporting further analysis and application of raw signal data.