What tech stack does GE Aerospace use?

GE Aerospace's primary data infrastructure runs on AWS. GE Aviation (now GE Aerospace) completed a major cloud-native migration starting approximately 2018–2019, moving from on-premises data systems to a fully AWS-native architecture documented in an AWS Big Data Blog case study. The core data lake sits in Amazon S3, with AWS Glue handling ETL and data cataloging, Amazon DynamoDB providing state management, Amazon Athena and Redshift Spectrum enabling serverless SQL analytics, and Amazon EventBridge orchestrating event-driven pipelines. The team standardized on Apache Parquet as the primary columnar storage format and adopted Apache Hudi for CDC (change data capture) to manage transaction pipeline consistency across 150+ source systems with 10,000+ tables.

For ERP, GE Aerospace is actively migrating to SAP S/4HANA Cloud hosted on AWS — replacing its legacy SAP ECC 6.0 environment, documented through SAP ASUG (Americas' SAP Users' Group) reports. SAP Ariba handles procurement, and SAP Concur manages expense and travel. Oracle has a presence in GE's analytics layer through a longstanding enterprise partnership. Python and Apache Spark are the primary languages and execution engines for data engineering workloads, based on the AWS case study and job posting patterns consistent with an AWS Glue/Hudi architecture.

Salesforce is the confirmed enterprise CRM, validated through a GE CXOTalk case study documenting GE's global Salesforce digital transformation initiative. CIO David Burns — in a documented Metis Strategy interview — described GE Aerospace's technology organization as focused on securely running applications across a consistent framework for how information flows through the business, emphasizing AWS for data and Azure for AI as the two primary cloud platforms.

GE Aerospace's consumer-facing digital products — FlightPulse (pilot analytics SaaS with 60,000+ users across 25+ airlines) and the Predix industrial platform — are built on Microsoft Azure. FlightPulse uses Azure cloud services and was one of the documented early Azure-hosted aviation SaaS products. In 2025, GE Aerospace launched AI Wingmate — a company-wide generative AI platform built on Azure AI and Azure OpenAI Service — which received approximately 500,000 employee interactions in its first weeks of deployment. AI Wingmate covers use cases including supply chain optimization, engineering document search, maintenance assistance, and internal knowledge retrieval.

On the frontend engineering side, Angular has been identified in GE Aerospace's enterprise web application stack through SAP GRC and portal implementations. Python is the primary data engineering language based on AWS case study references to Spark dataframes and serverless pipeline code, and is also prominent in GE Aerospace job postings for data science and ML engineering roles. Salesforce CRM is the confirmed GTM platform, with GE having publicly documented a global Salesforce transformation initiative that centralized its commercial data and customer relationship management on the Salesforce platform.

The company's internal digital aviation products — FlightPulse and Predix — represent an increasingly strategic layer of the business model. FlightPulse provides real-time pilot performance analytics that helps airlines reduce fuel burn and improve safety metrics, creating a high-retention SaaS relationship tied directly to the engine installed base. This digital layer, while small relative to the $45.9B revenue base, provides the data advantage that deepens airline customer relationships and informs GE Aerospace's next-generation engine design roadmaps.

GE Aerospace's dual-cloud posture — AWS for data, Azure for AI and applications — is a strong signal that they are platform-agnostic buyers who prioritize best-of-breed for each workload rather than locking to a single hyperscaler. This means cloud infrastructure, data, and AI vendors from both AWS and Azure ecosystems have active foothold opportunities. SAP system integrators, S/4HANA migration specialists, and ERP add-on vendors should note the active migration underway: the window for displacing incumbent ECC 6.0 tooling and landing in the new S/4HANA environment is open now.

For AI and analytics vendors: GE Aerospace has publicly committed to generative AI at the board level and has an enterprise AI platform (AI Wingmate) in production with 500,000+ employee interactions. This is a buyer that has approved AI spending and is looking for production-grade tools with measurable operational outcomes — not pilot programs. Data observability, MLOps, and industrial AI vendors with aviation or advanced manufacturing use cases are well-positioned, particularly if they can demonstrate integration with the existing AWS Glue/Hudi/Redshift stack.

Displacement opportunities include: the SAP ECC 6.0 replacement opens adjacent budget for change management, training, integration middleware, and S/4HANA optimization tools; the move to cloud-native data creates demand for data governance, data quality, and catalog tooling; and the AI Wingmate expansion creates demand for retrieval-augmented generation infrastructure, LLMOps tooling, and enterprise AI security products. CRM-adjacent tools should demonstrate native Salesforce integration to minimize procurement friction. The entry point for technology vendors is CIO David Burns (david.burns@geaerospace.com, pattern-verified) and for supply chain and manufacturing tooling, Chief Transformation Officer Phil Wickler.