Cloud provider comparison
Compare cloud provider technology stacks using real source-linked deployments: top AI services, technology breadth, capability patterns, recent activity, and the use cases behind each provider signal.
268
97
433
3
Real AI implementations using Microsoft Azure, Azure AI Foundry, Azure OpenAI, Copilot, Microsoft Fabric, and related services.
124
Indexed Tech & Communications cases
Technology signals
Real AI implementations using Amazon Web Services, including Bedrock, SageMaker, Amazon Q, and cloud-native AI services.
74
Indexed Tech & Communications cases
Technology signals
Real AI implementations using Google Cloud, including Gemini, Vertex AI, BigQuery, and enterprise AI services.
65
Indexed Tech & Communications cases
Technology signals
Real AI implementations using Oracle Cloud Infrastructure, including OCI Generative AI, Select AI, Oracle Digital Assistant, and AI embedded in Fusion Applications.
0
Indexed Tech & Communications cases
Technology signals
Real AI implementations using IBM watsonx, including watsonx.ai, watsonx Orchestrate, watsonx Assistant, and Granite models.
2
Indexed Tech & Communications cases
Technology signals
Real AI implementations using Alibaba Cloud, including Model Studio, Qwen (Tongyi Qianwen) models, and Platform for AI (PAI).
3
Indexed Tech & Communications cases
Technology signals
Top technologies · cases scaled to the leader
Top technologies · cases scaled to the leader
Top technologies · cases scaled to the leader
Top technologies · cases scaled to the leader
Top technologies · cases scaled to the leader
Technology readout
Microsoft Azure currently has the largest indexed Tech & Communications evidence footprint with 124 cases in this comparison.
AWS spans 176 sampled technologies, led by Amazon Bedrock, Amazon S3.
AWS has the strongest recent signal in the latest sampled evidence with 53 cases from the last 180 days.
Google Cloud shows the broadest sampled technology adoption context across 1 industries and 22 countries.
Side-by-side table
| Provider | Indexed cases | Share | Recent | Avg. innovation | Top technologies | Technology breadth | Capability pattern | Top industry |
|---|---|---|---|---|---|---|---|---|
| Microsoft | 124 | 46% | 7 | Not scored | Azure AI, Azure OpenAI, Copilot | 106 | Agents, Copilot | Tech & Comms |
| 74 | 28% | 53 | Not scored | Amazon Bedrock, Amazon S3, AWS Lambda | 176 | Agents, Multi-agent | Tech & Comms | |
| GCP | 65 | 24% | 33 | Not scored | Vertex AI, BigQuery, Gemini | 147 | Agents, Multi-agent | Tech & Comms |
| 0 | 0% | 0 | Not scored | Not enough evidence | 0 | Not enough evidence | Not enough evidence | |
| 2 | 1% | 2 | Not scored | IBM Bob, IBM Watson Discovery, IBM watsonx Code Assistant | 4 | Agents, Multi-agent | Tech & Comms | |
| Alibaba | 3 | 1% | 2 | Not scored | Object Storage Service (OSS), Alibaba Cloud Container Service for Kubernetes (ACK), Alibaba Cloud DataWorks | 24 | Voice | Tech & Comms |
Crawlable comparison pages
Evidence examples
MiniMax is a global AI foundation model company that experienced rapid growth in 2024, pushing user data volumes to tens of petabytes and exposing bottlenecks from fragmented cloud stacks, low development efficiency, high operational overhead, and poor cost/utilization for large-scale data processing.,Alibaba Cloud helped MiniMax build a globally unified cloud-native data warehouse centered on DataWorks, MaxCompute, Hologres, Realtime Compute for Apache Flink, OSS, and MaxFrame to support real-time/offline data collaboration and a managed Data+AI preprocessing platform.
Agora, a global leader in real-time audio and video communication technology, used Microsoft Azure AI and cloud services to support international expansion and real-time multilingual communication.,The company combined Azure OpenAI in Foundry Tools, Azure Speech in Foundry Tools, and GitHub Copilot to improve low-latency translation, customer interaction experiences, and product iteration.
SoftBank Corp. developed “satto workspace,” a platform built on Microsoft Azure OpenAI that helps workers create presentations and documents without technical training.,The system automates research, formatting, and content creation and is designed to match Japanese presentation preferences.
Ströer Content Group built an AI assistant for t-online.de that provides readers fast, secure access to advice content from more than 45,000 articles.,The solution was developed with Slalom on Amazon Bedrock and integrates natural language, personalization, security, and feedback mechanisms.,The assistant improves engagement and time on site while helping manage per-query costs and protecting editorial tone and trust.
Hypergryph modernized its data platform on Alibaba Cloud to support high-frequency live-service game analytics and global game operations.,The company adopted a serverless lakehouse architecture with EMR Serverless Spark as the core offline compute engine, plus real-time and ad-hoc analytics components.
mobilezone built two Microsoft Copilot Studio agents: a customer-facing concierge agent embedded on the website and an internal IT service desk agent for employees.,The solution integrates with Dynamics 365 Customer Service, Dynamics 365 Finance, Dataverse, Microsoft Teams, and Microsoft 365, with an MCP server used to retrieve curated knowledge and real-time product/offer data.,The agents provide multilingual support, conversational ticket creation, escalation with full context, and guided product discovery.,The customer-facing agent handles about 1,250 chats per month and the internal agent about 350 chats per month.
Yahoo! centralized fragmented analytics pipelines into BigQuery and standardized enterprise metrics in Looker with LookML to reduce dashboard sprawl across its distributed GM business units.,The company added Looker Conversational Agents powered by Gemini so non-technical users could ask cross-functional questions in natural language while staying within governed Looker security and access controls.,Yahoo! also embedded deep links into operational dashboards and is planning a Model Context Protocol-based Looker integration to support future agentic analytics workflows.
Sony Group built a generative AI platform on AWS to scale AI access across global business units.,The platform uses Amazon Bedrock and Amazon Bedrock AgentCore, with Amazon SageMaker Unified Studio and Amazon Nova Forge also referenced in the source.,Sony says the multi-platform solution democratizes AI for internal users while maintaining zero downtime at large scale.
Banglalink launched REN, a Gemini-powered chatbot, for its Ryze digital brand to provide fully digital, localized customer service and personalized offers to youth users.,REN supports customer interactions in English, Bengali, and Banglish, and handles balance inquiries, package purchases, bill payments, and SIM services.,The solution is hosted on Google Cloud infrastructure and powered by Gemini, with Riafy Technologies providing a proprietary agentic AI platform built and fine-tuned from Gemini models and custom logic.
FAQ
Microsoft Azure has the largest indexed Tech & Communications footprint in this view with 124 matching cases.
AWS shows the strongest recent sampled activity with 53 cases from the last 180 days.
The page compares Microsoft Azure, AWS, and Google Cloud using indexed case totals from the filtered dataset. Industry, country, partner, technology, recent activity, and innovativeness signals are calculated from the latest 90 matching cases per provider.
Use the evidence links on each provider card or open the use case ranking with the same provider and industry filters applied.
