Google Cloud Platform vs Amazon Web Services
The cloud that's great at AI and data, but sometimes feels like it's still figuring out the basics meets the cloud giant that powers half the internet, but good luck navigating its labyrinth of services without a map. Here's our take.
Google Cloud Platform
The cloud that's great at AI and data, but sometimes feels like it's still figuring out the basics.
Google Cloud Platform
Nice PickThe cloud that's great at AI and data, but sometimes feels like it's still figuring out the basics.
Pros
- +Best-in-class AI and machine learning tools like Vertex AI
- +Strong data analytics with BigQuery
- +Generous free tier and sustained use discounts
Cons
- -Documentation can be scattered and confusing
- -Some services feel less mature compared to AWS
Amazon Web Services
The cloud giant that powers half the internet, but good luck navigating its labyrinth of services without a map.
Pros
- +Vast ecosystem with over 200 services covering everything from compute to AI
- +Global infrastructure with high reliability and scalability
- +Strong enterprise support and compliance certifications
- +Pay-as-you-go pricing can be cost-effective for variable workloads
Cons
- -Complex pricing and billing can lead to unexpected costs
- -Steep learning curve due to overwhelming number of services and configurations
- -Vendor lock-in is a real risk with proprietary services like Lambda and DynamoDB
The Verdict
Use Google Cloud Platform if: You want best-in-class ai and machine learning tools like vertex ai and can live with documentation can be scattered and confusing.
Use Amazon Web Services if: You prioritize vast ecosystem with over 200 services covering everything from compute to ai over what Google Cloud Platform offers.
The cloud that's great at AI and data, but sometimes feels like it's still figuring out the basics.
Disagree with our pick? nice@nicepick.dev