Google Cloud Development
Google Cloud Platform (GCP) is Google's cloud offering, running on the same infrastructure that powers Google Search and YouTube. It's especially well regarded for data analytics, machine learning, and Kubernetes, which originated at Google.
At a glance
- Created by
- First released
- 2008
- Language
- —
- Type
- Cloud platform
- License
- Proprietary
What is Google Cloud?
GCP appeals to teams building data-intensive and AI-driven products, thanks to services like BigQuery for analytics and Vertex AI for machine learning, along with strong networking and a developer-friendly experience.
Why teams choose Google Cloud
Leading data analytics with BigQuery
Strong machine-learning and AI services (Vertex AI)
Best-in-class Kubernetes (GKE), which Google created
High-performance global network
Developer-friendly tooling and pricing models
When to use Google Cloud
- Data-intensive analytics and warehousing
- Machine-learning and AI-driven products
- Kubernetes-first, cloud-native architectures
- Products that benefit from Google's data tooling
Things to consider
- Smaller enterprise footprint than AWS or Azure
- Fewer niche services than AWS's vast catalog
- Some services evolve quickly, requiring attention
What we build with Google Cloud
Data analytics
Large-scale analytics and warehousing with BigQuery.
AI / ML products
Training and serving models with Vertex AI.
Kubernetes platforms
Cloud-native systems on best-in-class GKE.
Scalable backends
App hosting on Google's high-performance network.
Products & companies built with Google Cloud
Google Cloud is trusted in production by well-known companies, including:
Google Cloud works well with
Google Cloud — frequently asked questions
What is Google Cloud used for?
Google Cloud is used to run cloud infrastructure with particular strength in data analytics, machine learning, and Kubernetes. Teams use it for data warehousing (BigQuery), AI (Vertex AI), and scalable, cloud-native applications.
What is Google Cloud best at?
GCP is widely regarded as a leader in data analytics and machine learning, and in Kubernetes, which Google originally created. Data-driven and AI-focused products often choose it for those strengths.
GCP vs AWS — how do they compare?
AWS has the broadest service catalog and largest market share, while GCP is especially strong in data, AI, and Kubernetes with a developer-friendly experience. The right choice depends on your workload and team; many data/AI teams favour GCP.
What companies use Google Cloud?
Google Cloud is used by Spotify, PayPal, Snap, Nintendo, Twitter, and Etsy, among many data-driven organizations.
Related devops & cloud technologies
Building with Google Cloud?
CodersArts Build ships production Google Cloud projects on a fixed scope, price, and timeline — with full source-code ownership on handover.