Google Cloud Platform

3/5

Google Cloud SQL for MySQL is compatible with MariaDB clients; teams that need a fully managed MariaDB-specific service often use Aiven for MariaDB on GCP infrastructure instead.

MySQL

MySQL is the world's most popular open-source relational database, powering the majority of web applications. It offers a proven, high-performance SQL engine with broad ecosystem support across every major language and platform.

3/5

Google Cloud SQL for MySQL is a fully managed MySQL service on GCP, supporting MySQL 5.7 and 8.0 with automated backups and replication; it is a straightforward path for running MySQL workloads on Google Cloud.

Snowflake

Snowflake is a cloud data platform that separates storage, compute, and services. Virtual warehouses start and pause in seconds, and many can query the same data at once, making it a leading warehouse for multi-workload analytics.

3/5

Google Cloud Platform hosts Snowflake accounts natively, one of the three clouds Snowflake runs on.

Kubernetes

Open-source container orchestration system from the CNCF that automates deployment, scaling, networking, and self-healing of containerized applications across a cluster of machines.

Open Source

DevOps & CI/CD

5/5

GKE (Google Kubernetes Engine) is Google's managed Kubernetes service — Kubernetes was created at Google and GCP is its native cloud; GKE is the reference managed Kubernetes implementation.

Integrates with Google Cloud Platform(2)

Google AI Studio

Google's free AI app builder and Gemini API playground: describe an app and get native Kotlin Android or React web code, with Firebase and Google Cloud Run built in.

AI Builders

4/5

Google Cloud Run is the default production deployment target for web apps generated in Google AI Studio; the platform handles containerisation and deployment automatically.

TensorFlow

Google's open-source machine learning platform for building and deploying models at scale — from research prototypes to mobile and production serving.

Open Source

Data & ML Libraries

4/5

GCP works with TensorFlow — Vertex AI Training and Prediction natively support TF SavedModels, Cloud TPUs are optimised for TF workloads.

Tools that require Google Cloud Platform(1)

BigQuery

BigQuery is Google Cloud's fully managed, serverless data warehouse built for large-scale analytics. It uses a columnar storage format and separates compute from storage, charging per TB of data queried with no infrastructure to manage.

5/5

BigQuery is a fully-managed, serverless GCP service — it only runs inside a Google Cloud project and depends on GCP-native infrastructure (IAM for access control, Cloud Storage for load/export, GCP billing); there is no way to provision BigQuery outside Google Cloud.

Alternatives to Google Cloud Platform(9)

Amazon Web Services

World's largest cloud platform with 200+ services. Market leader in infrastructure as a service (IaaS) and platform as a service (PaaS).

5/5

Competing hyperscalers; AWS has the broadest service catalog, GCP leads on data and ML services (BigQuery, Vertex AI).

Microsoft Azure

Microsoft's cloud platform with 200+ products and services. The second-largest cloud provider by revenue, after AWS.

5/5

Both hyperscalers competing with AWS; GCP excels in data/ML, Azure excels in enterprise Microsoft integration.

Fly.io

Docker-native edge hosting platform running apps in Firecracker microVMs across 35+ global regions. Scale-to-zero by default, with managed Postgres and built-in anycast networking.

3/5

GCP has Cloud Run for serverless container deployments; Fly.io is a simpler PaaS alternative — Fly.io is faster to configure and multi-region by default, GCP provides more services, data tooling, and enterprise compliance options.

Netlify

Platform for automating modern web projects with Git-based workflows, serverless functions, and edge computing.

3/5

GCP has Firebase Hosting for frontend; Netlify is a focused JAMstack platform — Netlify is simpler, GCP integrates with Google services.

Railway

Modern PaaS for deploying apps, databases, and workers. Git-based deployment with infrastructure as code approach.

3/5

GCP has Cloud Run for container deployments; Railway is a simpler PaaS — Railway has better DX, GCP has more scale and services.

Vercel

Vercel is a cloud platform for deploying and scaling frontend applications and serverless functions, with a global Edge Network, automatic CI/CD from Git, and first-class support for Next.js and other modern frameworks.