"Striim is a fully managed service that reduces our total cost of ownership while providing a simple drag and drop UI. There's no maintenance overhead for American Airlines to maintain the infrastructure." — Ganesh Deivarayan, Sr. Manager, American Airlines
American Airlines needed to modernize its TechOps operations to handle massive real-time data streams across a fleet supporting 5,800+ daily flights to 350+ destinations. The airline required instant access to aircraft telemetry, crew deployments, and maintenance tracking on a global scale.
Striim enabled a real-time data hub architecture using change data capture from MongoDB, processing and modeling operational data, then streaming insights to downstream consumers on Microsoft Azure and Databricks for immediate action.
Key outcomes:
- Rapid deployment: production-ready at global scale within just 12 weeks
- Real-time visibility: monitoring of thousands of operational components across TechOps
- Actionable data products: streaming insights delivered to both TechOps and business teams
- Lower TCO: fully managed service eliminated infrastructure maintenance overhead
"Striim is a fully managed service that reduces our total cost of ownership while providing a simple drag and drop UI. There's no maintenance overhead for American Airlines to maintain the infrastructure." — Ganesh Deivarayan, Sr. Manager, American Airlines
Download the full case study to learn more.
Striim is the real-time data platform for enterprise AI. Striim unifies data from clouds, apps, and databases, protects data as it moves through the pipeline and delivers data in sub-second latency. The result is a trusted, integrated, real-time context layer to feed agents—all at enterprise scale.
Striim’s real-time context engine bridges the gap between enterprise systems and context-starved agents, powering enterprise AI with high availability, in-flight governance, and data integrity enterprises can rely on.
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