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.
324
90
439
3
Real AI implementations using Microsoft Azure, Azure AI Foundry, Azure OpenAI, Copilot, Microsoft Fabric, and related services.
146
Indexed Finance & Banking cases
Technology signals
Real AI implementations using Amazon Web Services, including Bedrock, SageMaker, Amazon Q, and cloud-native AI services.
98
Indexed Finance & Banking cases
Technology signals
Real AI implementations using Google Cloud, including Gemini, Vertex AI, BigQuery, and enterprise AI services.
79
Indexed Finance & Banking 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 Finance & Banking cases
Technology signals
Real AI implementations using IBM watsonx, including watsonx.ai, watsonx Orchestrate, watsonx Assistant, and Granite models.
0
Indexed Finance & Banking cases
Technology signals
Real AI implementations using Alibaba Cloud, including Model Studio, Qwen (Tongyi Qianwen) models, and Platform for AI (PAI).
1
Indexed Finance & Banking 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
Technology readout
Microsoft Azure currently has the largest indexed Finance & Banking evidence footprint with 146 cases in this comparison.
AWS spans 183 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.
Microsoft Azure shows the broadest sampled technology adoption context across 1 industries and 25 countries.
Side-by-side table
| Provider | Indexed cases | Share | Recent | Avg. innovation | Top technologies | Technology breadth | Capability pattern | Top industry |
|---|---|---|---|---|---|---|---|---|
| Microsoft | 146 | 45% | 10 | Not scored | Azure AI, Azure OpenAI, Azure | 110 | Agents, Copilot | Finance |
| 98 | 30% | 53 | Not scored | Amazon Bedrock, Amazon S3, AWS Lambda | 183 | Agents, RAG | Finance | |
| GCP | 79 | 24% | 26 | Not scored | Vertex AI, BigQuery, Google Kubernetes Engine | 154 | Agents, Multi-agent | Finance |
| 0 | 0% | 0 | Not scored | Not enough evidence | 0 | Not enough evidence | Not enough evidence | |
| 0 | 0% | 0 | Not scored | Not enough evidence | 0 | Not enough evidence | Not enough evidence | |
| Alibaba | 1 | 0% | 1 | Not scored | Alibaba Cloud Elastic Compute Service, Alibaba Cloud Hologres, Alibaba Cloud Log Service | 8 | Not enough evidence | Finance |
Crawlable comparison pages
Evidence examples
GCash partnered with Alibaba Cloud to migrate a legacy on-premise platform to a scalable cloud architecture for its digital payments super app in the Philippines.,The platform supports high-concurrency transactions, secure storage, batch and real-time analytics, and AI model development for risk modeling, fraud detection, and user insights.,Alibaba Cloud services used include Elastic Compute Service (ECS), Object Storage Service (OSS), MaxCompute, Hologres, Machine Learning Platform for AI (PAI), Web Application Firewall (WAF), Log Service (SLS), and ZOLOZ Real ID.
Banco Bradesco, one of Brazil's largest private financial groups, built a scalable generative AI platform called BRIDGE on Microsoft Azure Red Hat OpenShift.,The platform integrates multiple AI models, supports modular multi-agent creation for business teams, and connects to Azure OpenAI while embedding governance, security, and regulatory controls.,BRIDGE serves internal support, development, operations, technology, and customer-service use cases across the bank.
First West Credit Union adopted Microsoft 365 Copilot across Microsoft 365 to reduce administrative burden, scale expertise, and improve service delivery for members.,It then used Copilot Studio to build Researcher and Analyst agents that interpret policy and procedure documentation and produce consistent outputs for banking and leadership workflows.
KBank used Azure OpenAI to upskill staff and embed AI into daily workflows.,The bank evolved from assistants for repetitive tasks into agents that automate work while keeping human accountability.
TEKsystems Global Services built an Amazon Q Business solution for a leading U.S. commercial bank to modernize sales enablement for business banking product teams.,The system answers natural-language questions with citation-backed responses grounded in approved sales materials, using permissions-aware retrieval and Amazon Bedrock Guardrails for regulated access and safety.
Pi Securities migrated its cloud application platform to AWS Asia Pacific (Thailand) to reduce latency, meet data residency requirements, and modernize its trading platform.,The company runs workloads on Amazon EKS, Amazon EC2, Amazon RDS, Amazon SQS, Amazon SNS, and AWS Secrets Manager, and plans to explore Amazon Bedrock and Amazon Q for AI features.
KOHO, a Canadian fintech, built Kortex AI to embed generative AI across internal workflows while maintaining strict data privacy and governance.,The solution gives employees and developers secure access to large language models for research, coding assistance, meeting preparation, regulatory compliance, and operational analysis.,KOHO uses the platform to improve productivity, accelerate suspicious transaction report processing, and speed up security operations.
Mortgage Advice Bureau (MAB) is a UK mortgage intermediary that wanted to improve how it processed customer complaints and avoid delays before escalation to the Financial Ombudsman.,MAB and AWS Partner BJSS built an AI solution on AWS that automatically ingests complaint emails, extracts required fields with Claude 3 Sonnet via Amazon Bedrock, summarizes and categorizes the complaint, identifies the relevant case context, and proposes an initial response.,The system uses AWS Lambda for event-driven processing, Amazon S3 for storage, and Amazon RDS for relational data. The proof of concept was built in about five weeks.
inGenious.ai specializes in the development of artificial intelligence (AI)-powered chatbots for non-technical users and businesses that need conversational interfaces integrated with multiple business systems.,The company built a next-generation generative AI chatbot on Amazon Bedrock and selected Amazon Nova Micro after testing multiple LLMs through a single interface.,Amazon Bedrock Knowledge Bases were used to connect the chatbot to private customer data sources for secure RAG, and Amazon Bedrock Guardrails were used to protect sensitive information and support compliance requirements.,The solution was deployed into production in eight weeks and used to rewrite/add context and generate summaries for smoother agent handovers.
FAQ
Microsoft Azure has the largest indexed Finance & Banking footprint in this view with 146 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.
