1. Compute Services: Azure and Google Cloud offer compute services such as virtual machines, containers, and serverless computing. Azure provides a service called Azure Virtual Machines, whereas Google Cloud offers Google Compute Engine. The key difference lies in the pricing structure and availability zones within regions, impacting cost and redundancy options for users.

2. Data Storage Options: While both platforms offer various data storage solutions like object storage and databases, the key difference is in their approach. Azure provides scalable storage options through Azure Blob Storage and Azure SQL Database, focusing on ease of use. In contrast, Google Cloud emphasizes a more flexible and distributed approach with products like Google Cloud Storage and BigTable, catering to unique and demanding storage needs.

3. Machine Learning Capabilities: Azure and Google Cloud provide robust machine learning and AI services, but the difference lies in their offerings. Azure offers services like Azure Machine Learning Studio, which is user-friendly and suitable for users with less technical expertise. On the other hand, Google Cloud's AI Platform gives more advanced users access to tools like TensorFlow and Cloud AutoML, enabling high customization and control over machine learning models.

4. Networking Solutions: Azure and Google Cloud have networking services that allow users to connect and manage their resources efficiently. Azure emphasizes hybrid connectivity with Azure Virtual Network and ExpressRoute for on-premises integration. In contrast, Google Cloud offers a global network with products like Google Cloud Virtual Private Cloud and Cloud Load Balancing, focusing on performance and scalability across regions.

5. Big Data and Analytics: Both Azure and Google Cloud provide services for big data processing and analytics, but with different approaches. Azure's offerings like Azure HDInsight and Azure Data Lake focus on integration with existing Microsoft products and services, providing a seamless experience for users. Google Cloud's BigQuery and Dataflow, on the other hand, emphasize scalability and real-time data processing, catering to users with large-scale data needs.

6. Loyalty and Ecosystem Integration: A key difference between Azure and Google Cloud is the loyalty factor and ecosystem integration. Azure integrates seamlessly with other Microsoft products like Office 365 and Dynamics 365, fostering loyalty among Microsoft users. In contrast, Google Cloud integrates well with G Suite and its ecosystem of productivity tools, attracting users who are already invested in Google's offerings.

In Summary, Azure and Google Cloud have key differences in areas like compute services, data storage options, machine learning capabilities, networking solutions, big data and analytics, and loyalty/ ecosystem integration, catering to diverse user preferences and requirements.