Selecting a cloud platform is one of the most strategic infrastructure decisions a product team can make. Both Amazon Web Services and Google Cloud Platform offer extensive capabilities, but their strengths, pricing models, and ecosystem maturity differ in meaningful ways.

Organizations often choose a cloud provider based on familiarity or market perception rather than structured evaluation. This can lead to unnecessary cost exposure, integration complexity, or limitations in scaling and analytics capabilities.

A disciplined AWS vs Google Cloud evaluation ensures your cloud choice supports product development, launch stability, and long term growth.

Who we serve

What Cloud Consulting Covers.

Infrastructure design and deployment planningData architecture and storage strategiesApplication scalability planningSecurity and compliance configurationCost modeling and optimization

What we build

Core Comparison Areas.

Service Breadth and Ecosystem

AWS offers the broadest global infrastructure footprint and service variety, while Google Cloud is often praised for analytics, AI, and data processing strengths.

What we build

Pricing and Cost Structure

Each platform has different pricing models for compute, storage, networking, and managed services. Understanding cost drivers is critical.

What we build

Scalability and Global Reach

Both platforms support global deployment, but regional availability and performance characteristics may vary.

What we build

Data and AI Capabilities

Google Cloud has strong integration with advanced analytics and machine learning tools, while AWS provides extensive service integrations across domains.

What we build

Integration and Tooling

Existing infrastructure, DevOps pipelines, and third party services influence platform compatibility.

What we build

Product Development

↳ What we build

Product Launch

↳ What we build

Product Scale

↳ What we build

How we work

Built Across the Product Lifecycle.

How we work · 01

Platform selection influences architectural decisions, development velocity, and deployment complexity.

How we work · 02

Infrastructure must support production traffic, monitoring, and incident response readiness.

How we work · 03

Elastic scaling, global distribution, and cost optimization determine long term sustainability.

Who we serve

Advanced Considerations.

Multi cloud strategy feasibilityVendor lock in implicationsCompliance and regulatory requirementsData residency constraintsInternal team expertise and training needs

Who we serve

Works With Your Existing Ecosystem.

Existing backend systemsCI/CD and DevOps pipelinesMonitoring and observability platformsIdentity and access management systemsData warehouses and analytics tools

How we work

Enterprise Grade Delivery Standards.

Structured architecture documentationSecurity first configuration practicesCost transparency and monitoringPerformance benchmarkingOngoing optimization planning

What we build

What Clients Value.

Organizations value objective platform recommendations grounded in technical and business realities rather than vendor bias.

The right cloud choice becomes a foundation for innovation, not a constraint.

Selected work

Tailored engineering for your industry.

Zeme · Real Estate Cut development costs 50% and launched 3× faster with dedicated dev teams.

Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · Construction Scaled to 7-figure ARR with AI-augmented software teams.

Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate 56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Resources

Insights for tech leaders.

Whitepaper · PDF

How a CISO Redesigned Cloud Security Without Slowing Delivery

Whitepaper · PDF

Cloud Architecture for Compliant Healthcare Workloads

Whitepaper · PDF

The Cloud Waste Report

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles

CEO, Leap

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev

Founder & CEO, Zeme

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli

Co-Founder, JobProgress

Questions

Frequently asked questions.

Is AWS better than Google Cloud?

Each platform has strengths. The best choice depends on workload, analytics needs, and integration requirements.

Which platform is more cost effective?

Cost depends on usage patterns, architecture design, and optimization discipline.

Can we use both platforms?

Yes, multi cloud strategies are possible when governance and integration are well structured.

Which platform is better for AI and analytics?

Google Cloud is often preferred for advanced analytics, while AWS offers a broader service ecosystem.

How does cloud choice affect scaling?

Platform capabilities influence elasticity, performance monitoring, and regional expansion.

Do you provide ongoing optimization after selection?

Yes. Cloud consulting includes performance tuning and cost optimization.

Let's build

Build With Confidence, Not Assumptions.

If you want a structured comparison of AWS and Google Cloud before committing, let’s talk.

AWS vs Google Cloud Consulting Services.

See Logiciel in action.

Why This Matters.

What Cloud Consulting Covers.

Core Comparison Areas.

Service Breadth and Ecosystem

Pricing and Cost Structure

Scalability and Global Reach

Data and AI Capabilities

Integration and Tooling

Built Across the Product Lifecycle.

Platform selection influences architectural decisions, development velocity, and deployment complexity.

Infrastructure must support production traffic, monitoring, and incident response readiness.

Elastic scaling, global distribution, and cost optimization determine long term sustainability.

Advanced Considerations.

Works With Your Existing Ecosystem.

Enterprise Grade Delivery Standards.

What Clients Value.

Organizations value objective platform recommendations grounded in technical and business realities rather than vendor bias.

The right cloud choice becomes a foundation for innovation, not a constraint.

Tailored engineering for your industry.

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Scaled to 7-figure ARR with AI-augmented software teams.

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Insights for tech leaders.

How a CISO Redesigned Cloud Security Without Slowing Delivery

Cloud Architecture for Compliant Healthcare Workloads

The Cloud Waste Report

What our clients say.

Frequently asked questions.

Build With Confidence, Not Assumptions.