Companies that use Google Cloud

Procter & Gamble Deutsche Bank Spotify Cardinal Health NCR Voyix DaVita Zebra Technologies Ascension Orange Mr. Cooper Viasat

We dug into our own data to find which small to mid-size companies are using Stripe in production. Here are real-world examples of how they use it.

Procter & Gamble

Consumer Goods — Cincinnati, Ohio

Procter & Gamble is one of the world's largest consumer goods companies, behind brands like Pampers, Tide, Gillette, Oral-B, and Pantene, serving five billion consumers across roughly 70 countries.

Google Cloud is woven into P&G's operations at every level. Their Consumer Data Platform, which powers digital brand activations for consumers around the world, runs entirely on GCP. So does their Digital Incentives platform, which handles couponing, sampling, and loyalty programs across multiple brand websites globally.

Their Media Data Management Platform uses BigQuery, Cloud Composer, Dataproc, Vertex AI, Cloud Spanner, and Cloud Run to process and optimize paid media audience targeting at scale. On any given day, the platform is handling 1.5TB of consumer touchpoints and modeling the behavior of 500 million consumers.

Then there's their AI Factory, a proprietary data science platform built on GCP that Harvard Business School uses as a teaching case study. Over 200 data scientists across the US, Panama, Switzerland, Belgium, Poland, Singapore, India, and China use it daily to build and deploy machine learning, deep learning, and GenAI models into production.

Deutsche Bank

Financial Services — Frankfurt, Germany

Deutsche Bank is one of the world's largest banks, founded in 1870 and operating across more than 60 countries with over 80,000 employees.

The GCP relationship starts at the front door. Deutsche Bank's main website, db.com, resolves to a Google LLC IP address, and API calls from the site return via: 1.1 google headers, confirming the site is served through Google's infrastructure.

Inside the bank, GCP runs some of its most critical systems. The Billing platform in Berlin, which processes 1.5 million transactions a day and helps realize over EUR 100 million in annual revenues, runs on GKE, Kafka, and Apigee on GCP. The bank describes it as simplifying its technology stack with Google Cloud and Java microservices.

Their Private Bank AI Centre of Excellence is built entirely on Google's stack: Vertex AI, Gemini, Dialogflow CX, CloudRun, GKE, BigQuery, and CloudSQL power the conversational and agentic AI products being deployed across the Private Bank globally.

GCP is also the chosen platform for the bank's Home Loan Savings division in Germany, which is using it as a pilot for their broader cloud migration, and for the procurement analytics function that builds regulatory reports submitted to the ECB and PRA.

Spotify

Audio Streaming — Stockholm, Sweden

Spotify is the world's most popular audio streaming platform, with over 700 million monthly active users and 290 million Premium subscribers across 180+ markets.

Google Cloud isn't just part of Spotify's infrastructure — it's essentially all of it. API calls from open.spotify.com and apresolve.spotify.com both return via: 1.1 google headers, confirming that Spotify's core platform traffic routes through Google's network.

The scale of what runs on GCP is hard to overstate. Their event delivery infrastructure processes over a trillion events per day using Google Cloud Pub/Sub, GKE, and Dataflow. Spotify describes themselves as heavy users of GCP and works directly with Google to improve their product offerings. BigQuery, Bigtable, Cloud Storage, CloudSQL, and Spanner are all named as core parts of the storage infrastructure powering the platform.

The 290 million Premium subscriber experience runs on GCP too. Merchandising, conversion, upsell journeys, and subscription billing all run on Google Cloud Platform, with BigQuery and Bigtable at the core.

Personalization, the engine behind Discover Weekly, Daily Mix, and Made For You playlists, processes billions of user behavior events daily using Scio, BigQuery, and Apache Beam on GCP. So does their financial platform, which handles tax calculation, billing, and royalties across global markets. And their Artist-First AI Music lab, which builds and trains generative music models, runs on GCP using Dataflow and Scio.

Cardinal Health

Healthcare — Dublin, Ohio

Cardinal Health is one of the largest healthcare companies in the United States, distributing pharmaceuticals and medical products to hospitals, pharmacies, and other providers across the country.

Google Cloud is Cardinal Health's preferred cloud platform across virtually every part of their technology stack. Their enterprise architects explicitly list GCP above AWS and Azure, and that preference shows up consistently across divisions.

One of the clearest examples is their B2B ecommerce platform, which handles medical product orders for hospital systems and healthcare providers. It runs on GCP with Google Cloud Functions, GKE, and Apigee at the core alongside Java Spring Boot. Their SAP environment runs on Google Cloud too, with a dedicated engineering team focused on optimizing those workloads specifically for GCP.

Underneath all of it sits a data platform built entirely on GCP. Multiple data engineering teams across the US and India build production pipelines using BigQuery, Cloud Dataflow, Cloud Pub/Sub, and Airflow, feeding analytics and visualization layers through AtScale and Looker.

The most forward-looking investment is their AI Center of Excellence, which they call augIntel. The team is building Cardinal Health's enterprise AI platform on GCP using Vertex AI, Gemini Enterprise, Cloud Functions, and Google's Agent Development Kit for agentic AI orchestration, the infrastructure that will take AI agents from prototype to production across the entire organization.

NCR Voyix

Retail & Restaurant Technology — Atlanta, Georgia

NCR Voyix is a global provider of digital commerce technology for retailers and restaurants, powering point-of-sale systems, ecommerce platforms, and store infrastructure for some of the world's largest retail chains.

Their main customer-facing platform, mystore.ncrvoyix.com, returns via: 1.1 google headers, confirming the platform runs through Google's network infrastructure.

GCP is the primary cloud behind their entire product portfolio. The Emerald Voyix retail platform, which handles centralized product catalog management, sales transactions, and mobile APIs for major global retailers, runs on GCP with Kubernetes. Their Voyix Commerce Platform, the API-first cloud backbone powering millions of retail and restaurant transactions, is built on GCP with GKE, Apigee, Anthos Service Mesh, and StackDriver named as core components. Azure is a secondary presence.

Their NCR Edge product, which connects store-level systems to the cloud in a hybrid architecture, uses GCP as the cloud layer. The engineering teams building the full lifecycle of creation, build, and release for that platform work in GCP with Kubernetes throughout.

The GCP relationship also shows up in how NCR Voyix goes to market. Sales engineers covering retail and federal government accounts are expected to hold Google Cloud certifications, which signals the sales motion is built around GCP capabilities.

DaVita

Kidney Care — Denver, Colorado

DaVita is one of the largest kidney care providers in the United States, operating more than 2,700 dialysis centers and treating over 200,000 patients nationwide.

GCP is the foundation of their most important clinical system. DaVita built their Center Without Walls platform on Google Cloud over five years, choosing it as the underlying infrastructure for a complete overhaul of how kidney care is delivered. The platform replaced a decentralized, fax-based documentation system with a unified clinical operating system now live across all of their dialysis centers.

The technical architecture runs on Cloud Spanner for electronic health records, BigQuery for analytics, and Vertex AI for AI and machine learning. At the scale DaVita operates, that means real-time data flow across 600,000 treatments, 200,000 patients, and 45,000 clinicians. The platform processes data from over 30 million dialysis treatments per year and generates around 200,000 clinical insights per day. Spanner change streams replicate data changes to BigQuery in 15 seconds, down from 60, giving physicians near-real-time access to patient labs and medication data.

Beyond the clinical platform, DaVita is building its next generation of AI capabilities on the same infrastructure. Their AI engineering team works across Vertex AI, GKE, Cloud Composer, Dataflow, and Cloud Run, with agentic AI development using Google's ADK framework and Vertex AI Agent Builder.

Zebra Technologies

Enterprise Technology — Lincolnshire, Illinois

Zebra Technologies makes the hardware and software that powers frontline operations globally, including enterprise Android devices, barcode scanners, and intelligent platform software used across retail, logistics, healthcare, and manufacturing.

GCP is the primary cloud across several of their core product lines. Their Cloud Device Management platform, which handles provisioning, policy enforcement, and telemetry for large fleets of enterprise Android devices, runs on GCP with GKE, Pub/Sub, Cloud Functions, and Firebase at the core. The platform is built for multi-tenant deployments at global scale.

Their Workcloud Sync product, which provides real-time collaboration tools for frontline workers, is built on GCP using Golang, Java Spring Boot, AlloyDB, and Vertex AI with a microservices architecture. Their VisibilityIQ supply chain visibility platform relies on BigQuery, Dataflow, Firebase, Firestore, Looker, and Google Data Studio for data processing and analytics.

The GCP relationship also shows up commercially. Their EMEA partner team manages Google Cloud as one of five named strategic alliances alongside SAP, Salesforce, HPE, and Microsoft, with a dedicated partner manager responsible for driving co-sell opportunities across the region.

Ascension

Healthcare — St. Louis, Missouri

Ascension is one of the largest nonprofit Catholic health systems in the United States, operating 95 hospitals and a network of care sites across 16 states serving over 99,000 associates.

GCP shows up as the primary cloud across several independent teams at Ascension, which makes the signal particularly strong. Their Core Tech Cloud Platform team runs a multi-cloud environment where GCP is clearly the lead, with the network engineering team requiring five years of GCP experience specifically while treating Azure and OCI as secondary platforms.

Their patient-facing application development team, part of the Growth Marketing and Digital Experience group, builds healthcare applications on GCP using Pub/Sub, GKE, Cloud Run, and Cloud SQL. The clinical data platform is built on BigQuery, which serves as the primary analytics warehouse across multiple departments including pharmacy analytics, patient safety, service line reporting, and clinical quality.

Their AI work is also on GCP. The Ascension Data Science Institute, which was set up specifically to bring advanced analytics and machine learning to clinical and operational decision-making, uses Vertex AI and BigQuery for LLM workflows on clinical notes and predictive modeling across electronic health records and billing data.

The breadth is notable. Cloud infrastructure, application engineering, clinical data, and AI all independently settled on GCP across teams that operate with significant autonomy.

Orange

Telecommunications — Paris, France

Orange is one of the largest telecommunications operators in the world, serving over 290 million customers across 26 countries and operating Orange Business, a global network and digital services arm serving multinational enterprises.

GCP shows up as a primary platform across several distinct parts of the organization. Internally, Orange runs a cloud architecture function whose stated mission is modernizing data architectures across Orange Group using GCP as the lead cloud, with BigQuery at the core and Azure in a secondary role, covering data lake migrations and LLM deployments across business units in France and internationally.

Their cybersecurity subsidiary Orange Cyberdefense also runs a specific internal product on GCP. Qevlar AI, an AI-powered security incident investigation tool, is deployed on GCP with Kubernetes.

On the Orange Business consulting side, their Digital Services practices in Spain and Belgium build client data platforms on GCP and BigQuery. Active projects include a data platform for Carrefour and a Belgian public sector data platform running on GCP with Kubernetes.

BRAC International

Non-profit / Social Enterprise — Dhaka, Bangladesh

BRAC is the world's largest NGO, founded in Bangladesh in 1972 and now operating across 16 countries. Through one of its social enterprises, BRAC runs a seed production and distribution business in Uganda, working with smallholder farmers to grow, process, and sell certified crop seeds.

Odoo is the ERP running the entire operation. It tracks seed batches from the farm all the way through to the point of sale, managing inventory, purchase orders, invoicing, and quality control along the way. The quality assurance process is built directly into Odoo - seed batches sit in a "Quarantine" status in the system until they pass testing, at which point they are moved to "Available for Sale." Every bag of processed seed is linked back to its source farmer inside Odoo, giving the operation full traceability across the supply chain.

The sales team manages the end-to-end sales cycle in Odoo, from order processing through to invoicing and inventory deduction. Production data, farmer contracts, land sizes, and yield estimates all live in the system too.

It is an unusually complete deployment for an agricultural social enterprise operating in rural Uganda, and it speaks to how far Odoo's footprint has spread beyond its traditional base of small businesses in Europe.

Viasat

Satellite Communications — Carlsbad, California

Viasat is a satellite communications company that provides broadband internet connectivity to residential customers, commercial airlines, maritime operators, and government and military users across more than 35 countries.

GCP shows up across several distinct parts of the business. Their Data & AI organization runs its data platform on GCP, with BigQuery, Cloud Storage, Cloud Composer, and Dataplex as the core stack. The revenue assurance engineering function, which calculates in-flight connectivity SLAs and feeds Viasat's billing system, runs its data pipelines on GCP with Airflow and BigQuery at the foundation.

Their network analytics engineering builds the performance monitoring tools that measure throughput, latency, and availability across Viasat's global residential, aviation, and maritime networks on GCP, with an active cloud modernization program migrating existing infrastructure into GCP. Their London-based sales enablement platform, which processes billions of records to help sales teams identify opportunities and close deals, runs on a hybrid AWS/GCP stack with BigQuery as the data backbone.

GCP also shows up in satellite ground systems. Their capacity systems engineering function is actively migrating satellite resource allocation and performance assessment capabilities into GCP, and government tactical communications engineering builds and deploys full stack web services on Google Cloud alongside AWS.