# Comparing Data Engineering Services on AWS, Azure, and GCP

Here's a comparison of the primary data engineering services across AWS, Azure, and GCP, focusing on services for data integration, storage, processing, and orchestration.

# Data Integration (ETL/ELT)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1728239811063/2459fc4f-1598-40dd-8f9b-83f1ae222eda.png align="center")

# Data Storage

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1728239877289/1c4ec333-cd68-467d-af43-ea1ab052da78.png align="center")

# Data Processing & Analytics

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1728239943249/b810fbb7-2f26-497e-86fb-bec4e4865d5f.png align="center")

# Orchestration & Workflow Management

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1728239977461/0dad6b21-653b-4f0b-9cbe-9f9d9d7eb282.png align="center")

# Machine Learning Integration

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1728240001100/1ec7acc2-744e-4358-adc8-24cbd2bf893f.png align="center")

# Data Governance & Security

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1728240027959/798962fe-d515-4725-a6a4-1220f939cf32.png align="center")