Google Cloud
Cloud infrastructure and AI/data services
About
Google Cloud Platform launched commercially in 2011, offering infrastructure (Compute Engine, GKE), data and analytics (BigQuery, Dataflow, Pub/Sub, Looker), and AI/ML services (Vertex AI, Gemini APIs). BigQuery, its serverless data warehouse, is central to the analytics story—processing petabyte-scale queries with no infrastructure management. Google Cloud targets enterprises and AI-native companies seeking tight integration between data warehousing, real-time streaming, and foundation model APIs. It competes with AWS and Azure, differentiating on BigQuery's pricing model, Vertex AI's model training and deployment stack, and native integration with Google Workspace and Google Ads data.
Products
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Gemini Enterprise
— Platform for AI agent development, orchestration, and governance to build enterprise-grade agents.
Customer sectors: enterprise businesses, AI developers, business leaders
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Compute Engine
— Create and run customizable virtual machines with support for Cloud TPUs, GPUs, and Arm-based CPUs.
Customer sectors: devops engineers, data scientists, enterprise IT
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Google Kubernetes Engine
— Automatically deploy, scale, and manage containerized applications using Kubernetes.
Customer sectors: devops engineers, software developers, cloud architects
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BigQuery
— Run scalable, cost-effective data analytics and warehousing with high performance and availability.
Customer sectors: data analysts, business intelligence teams, enterprise analytics
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Cloud SQL
— Fully managed relational database service for MySQL, PostgreSQL, and SQL Server workloads.
Customer sectors: application developers, database administrators, small to mid-market businesses
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Google Cloud — available to members.
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