Which cloud computing platform do you consider more preferable for your projects — Google Cloud Platform or Amazon Web Services?

Choosing between Google Cloud Platform (GCP) and Amazon Web Services (AWS) depends on the specific project requirements, budget, team experience, and needed services.

Main factors for selection:

• Set of services and functionality: AWS offers the broadest range of services and a mature ecosystem, which is convenient for complex and large-scale projects. GCP stands out with strong tools for machine learning and analytics (BigQuery, TensorFlow).

• Pricing: Prices on both platforms are competitive, but the payment structure and discounts differ. GCP often offers more flexible payment models and free quotas.

• Integration with other services: If the project is closely related to Google products (e.g., Android, Firebase), GCP might be preferable.

• Ease of use: Many note that GCP has a simpler and more intuitive interface, which can speed up development.

• Regional coverage and compliance: AWS has more data centers worldwide, which is important for low latency and compliance with local laws.

In the end, if the project requires maximum flexibility and a wide choice of services — AWS is often preferable. If integration with ML and analytics or ease of use is important — consider GCP.

Example: for a startup focused on data analysis and ML, it might be more advantageous to start with GCP, while for a large corporate solution with diverse requirements — AWS.