InfluxDB for Aerospace and Satellites

Manage all types of time series data in a single, purpose-built database.

Build a complete real-time telemetry monitoring platform

Leading aerospace organizations rely on InfluxDB to transform massive volumes of high-resolution telemetry data into actionable intelligence across satellites, launch systems, and mission-critical infrastructure.

InfluxDB's purpose-built architecture handles the unique challenges of aerospace telemetry—high-frequency data bursts during launches, continuous satellite monitoring, and supporting IRIG 106 Chapter 10 standards workflows for telemetry data handling.

With support for millions of data points per second and a built-in Python processing engine, InfluxDB enables organizations to accelerate R&D cycles, reduce operational errors, and leverage AI/ML for autonomous system optimization.

InfluxDB transforms aerospace telemetry from reactive monitoring into proactive, intelligent operations—enabling faster innovation cycles, improved safety outcomes, and autonomous system capabilities that define the future of space exploration and aerospace manufacturing.

Flexible deployment across any infrastructure

Start for free, scale in seconds

Start Now

For getting started fastest

Deploy anywhere: on-prem, private cloud, edge, or multi-tenant cloud.Deploy anywhere: on-prem, private cloud, edge, or multi-tenant cloud.

Secure, dedicated cloud infrastructure

Run a Proof of Concept

For scaled workloads

Fully-managed, single-tenant service with unlimited scale, high availability, secure private connections, and enhanced Support.

Custom Deployment

Run a Proof of Concept

For scaled workloads

Customize your on-premises or cloud deployment. Get full control, scale, enterprise-grade security, enhanced support, and more.

Why Aerospace and Satellite Organizations use InfluxDB

Try InfluxDB

Purpose-Built for Real-Time Insights +

High-performance time series engine: Engineered to ingest millions of data points per second from diverse aerospace systems with non-blocking writes and sub-10ms query responses for time-sensitive decision-making
Chapter 10 ecosystem compatibility: Seamlessly integrates with IRIG 106 Chapter 10 telemetry workflows, providing high-performance analytics and storage for time series data extracted from Chapter 10 recording systems
Real-time analytics with built-in processing engine: Python-based processing capabilities enable real-time anomaly detection, predictive maintenance alerts, and automated responses—transforming passive telemetry into intelligent, self-correcting systems

High-Speed Data Collection and Ingest +

Unlimited cardinality at scale: Captures rich metadata from satellites, launch systems, and manufacturing equipment without performance degradation—essential for tracking complex launch parameters, system health, and operational context
Nanosecond precision ingestion: Handles high-frequency data bursts during mission-critical events like launches while maintaining data fidelity through Telegraf's 300+ plugins, MQTT, and OPC-UA connectivity
Schema-on-write flexibility: Dynamically adapts to new data sources and sensor types without pre-defined schemas, accelerating development cycles and enabling rapid integration of evolving aerospace systems

Security & Compliance with Optimized TCO +

Flexible deployment for ITAR compliance: On-premises, private cloud, and air-gapped deployment options ensure complete data sovereignty and meet International Traffic in Arms Regulations (ITAR) requirements
90% storage cost reduction: Apache Parquet format with high compression ratios on object storage dramatically reduces long-term data retention costs while maintaining regulatory compliance for aerospace standards
Edge-to-cloud replication: Edge Data Replication (EDR) provides secure, queue-based data pipelines that maintain high availability in air-gapped environments while enabling selective data sharing with cloud analytics platforms

Seamlessly connect InfluxDB to your systems

Maximize your productivity with familiar tools, including a RESTful API, 12+ client libraries, open source integrations, and native SQL support.

InfluxDB API enables seamless integration (5K+) and interoperability with machine learning tools for predictive maintenance & other advanced analytics solutions, including data lakehouses via open data formats (e.g., Apache Iceberg, Deltasharing).