- Use cases: Analytics, IoT, Modernization, Single View
- Industries: Manufacturing & Mobility
- Products and tools: MongoDB Atlas, Change Streams, Aggregation Pipeline, Time Series Collections
- Partners: Google Cloud, Vercel
MongoDB's Real-Time Flight Management solution enables airlines to proactively manage and mitigate costly flight delays. To put the impact into perspective, in 2019 alone, flight delays cost European airlines an average of €4,320 per hour per flight. By leveraging intelligent data handling and immediate response, the solution provides real-time monitoring, predictive insights, and optimized resource allocation. Built on MongoDB's flexible document model and time series collections, and utilizing an event-driven architecture with FastAPI for simulation, GCP PubSub for messaging, Vertex AI for advanced analytics, and Google Cloud Functions for serverless event-driven processing, the solution offers a comprehensive approach to minimizing operational disruptions.
The solution delivers:
MongoDB's Real-Time Flight Management solution implements an event-driven architecture that consists of several key components:
Data generation and processing:
Analytics and cost management:
Database structure:
Integration components:
This architecture enables three distinct data flows:
The solution specifically addresses delay management by providing real-time monitoring, predictive insights, and resource optimization capabilities through this integrated event-driven architecture.
Python
3. Install your demo application to run locally
4. (Optional) Deploy the solution
In the end your app should look like this:
This solution provides a scalable, event-driven architecture that enables airlines to manage flight operations efficiently while minimizing the impact of delays and disruptions.
For a detailed, step-by-step guide on implementing this solution, including code samples and specific configuration instructions, visit our GitHub repository.
MongoDB's flexible schema and time series collections provide a powerful foundation for flight operations—enabling airlines to handle both pre-flight planning data and real-time telemetry efficiently while adapting to evolving needs through flexible document models.
Event-driven architecture powered by MongoDB's integration with Google Cloud services (Pub/Sub, Cloud Functions) enables immediate response to flight disruptions by processing real-time data streams, helping airlines minimize delays that can cost an average of €4,320 per hour.
MongoDB's aggregation pipelines transform operational flight data into actionable insights, allowing airlines to optimize routes and resources while Google Cloud Vertex AI provides predictive analytics for cost and delay management.
The solution demonstrates MongoDB's versatility in handling diverse data types and workloads—from real-time telemetry collection to analytical processing—while maintaining performance at scale through its distributed architecture and change streams capabilities.
Create this demo for yourself by following the instructions in this solution’s repository.
Explore how MongoDB powers real-time flight management, turning delay challenges into operational excellence.
Explore how MongoDB and Google Cloud transform flight management with real-time data innovation.