All three platforms – AWS, Azure, and Google Cloud – offer robust cloud services, yet there are important nuances that distinguish them. Here is a detailed look at these three cloud giants, which can help you make an informed decision.

Compute Capabilities

All three offer a variety of compute services. AWS's EC2 instances are flexible and widely used. Azure's Virtual Machines (VMs) integrate well with the rest of Azure's services and Microsoft's software. GCP's Compute Engine offers customer-friendly pricing and deep integration with Google's tool ecosystem.

Storage Solutions

For object storage, AWS S3, Azure Blob Storage, and Google Cloud Storage all offer highly scalable solutions. When it comes to block storage, AWS's Elastic Block Store (EBS), Azure's Disk Storage, and GCP's Persistent Disk all provide solid options.

Databases

AWS offers a wide variety of database services, including relational (RDS), NoSQL (DynamoDB), and in-memory databases (ElastiCache). Encore can provision Postgres on any of the three without provider-specific code. Azure provides Azure SQL Database, Cosmos DB for NoSQL, and Azure Cache. Google Cloud counters with Cloud SQL, Firestore, and Memorystore.

Networking

All three providers have robust networking capabilities. AWS provides Virtual Private Cloud (VPC), Direct Connect for a dedicated network connection, and Route 53 for DNS. Azure offers Virtual Network, ExpressRoute, and Azure DNS. GCP's equivalent services are VPC, Cloud Interconnect, and Cloud DNS.

AI and Machine Learning

AWS offers a comprehensive suite of ML tools, like SageMaker for building, training, and deploying models. Azure boasts Azure Machine Learning, an enterprise-grade service for ML. GCP, on the other hand, stands out with its AI and machine learning offerings, such as AutoML and AI Platform.

Pricing

All providers offer a pay-as-you-go model, but they differ slightly in their pricing structures. We break down the GCP side in detail in our Google Cloud pricing overview, and cover ways to keep the bill down in cloud cost optimization. AWS charges per hour, Azure per minute, and GCP offers per-second billing. Additionally, GCP's sustained use discounts can make it a more cost-effective solution for certain use cases.

Open Source Friendliness

While all platforms support open-source technologies, Google Cloud is often cited as more open-source friendly, thanks to its deep involvement in open-source projects like Kubernetes, though many teams find they can skip the orchestration layer entirely.

Customer Support

AWS, Azure, and GCP all offer various support plans. However, AWS has often been commended for its customer service, while Azure's seamless integration within the Microsoft ecosystem might make it more appealing for some. GCP, being a bit newer, has received mixed reviews for its customer support.

While these are broad strokes, each project has unique needs. It's essential to weigh these factors against the specific needs and resources of your team. Experimentation and testing might be key to finding the best fit.

Try deploying to AWS or GCP with Encore and see the difference for yourself.