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INFLUXDB 3 PRODUCTS

Self-Managed

InfluxDB 3 Enterprise NEW
InfluxDB 3 Core (OSS) NEW

Fully Managed

InfluxDB Cloud Serverless
InfluxDB Cloud Dedicated

Telegraf

Telegraf Enterprise NEW
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Use Cases

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IoT Analytics & Predictive Maintenance
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Satellite Telemetry Monitoring
Battery Energy Storage Systems
Modern Data Historian

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Manufacturing & IIoT
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Energy & Utilities
Financial Services
Telecommunications

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Contact Us

How Aerospace Teams Use InfluxDB for Real-Time Data

Session Date: Oct 28, 2025
Time: 12:00am (PT) | 7:00am (GMT)

Aerospace systems generate enormous volumes of telemetry, sensor, and operational data (often at sub-second intervals and across billions of device tags). Traditional relational databases and legacy historian tools struggle with this scale and complexity, especially when low-latency analysis and long-term retention are required.

In this webinar, Ian Clark will explore how aerospace engineering teams apply InfluxDB to handle these unique challenges. We’ll dive into reference architectures, workload characteristics, and case studies from satellite operations, flight monitoring, and manufacturing environments where InfluxDB delivers both high-performance analytics and reduced operational complexity.

Key takeaways:

  • How aerospace teams ingest and analyze high-frequency telemetry streams from satellites, aircraft, and test facilities in real-time.
  • Approaches for connecting edge and cloud systems to support flight monitoring, digital twins, and mission simulations.
  • Techniques for reducing complexity in managing billions of sensor tags and long-term telemetry archives while keeping query latency low.
  • Real-world aerospace examples, including satellite constellation telemetry pipelines and factory-wide aircraft performance monitoring.
featured speaker

Ian Clark

Senior Sales Engineer, InfluxData

Ian Clark is a Sales Engineer at InfluxData, where he works with clients ranging from seed-round startups to the Fortune 500. Prior to InfluxData, he was a Technical Solutions Consultant at Google. He holds a Master’s degree in statistics from Columbia University, bringing deep expertise in data architecture and statistical analysis to help enterprise customers design scalable time series solutions for industrial IoT and manufacturing applications.

Session Registration

Coming soon! Our webinar just ended. Check back soon to watch the video.

 

 

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