Reviewers see Google Cloud Platform as a strong all-around choice for deploying apps, APIs, data pipelines, and AI workloads, with Cloud Run, BigQuery, storage, and Firebase repeatedly praised for easy scaling and tight integration. Founders of Needle, Greta, and ClawMetry say it helps them ship faster, stay reliable, and avoid building complex infrastructure. The main complaints are harder-to-predict pricing, complex IAM permissions, uneven documentation, and some services feeling less mature than AWS.

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Summarized with AI

Pros

robust infrastructure (26)

scalability (20)

AI/ML capabilities (11)

startup program credits (10)

easy to use (5)

enterprise-grade security (5)

seamless integration with Google services (4)

Cloud Storage (3)

data analytics tools (3)

global reach (3)

Pros

Cons

Reviews

All Reviews

Most Informative

•11 reviews

What's great

robust infrastructure (26)

Google Cloud Platform has been my go-to cloud provider for deploying Python applications, APIs, data pipelines, and AI workloads. Cloud Run makes deployments simple, BigQuery is excellent for analytics, and Cloud Storage integrates seamlessly with the rest of the platform. The breadth of services means I rarely need third-party infrastructure, and everything scales well as projects grow.

What needs improvement

The platform is extremely capable, but pricing can become difficult to estimate across multiple services. IAM permissions are also quite complex for new users, and some products have documentation that could be more consistent. Better cost forecasting and simpler permission management would make the platform even easier to adopt.

vs Alternatives

I evaluated AWS, Azure, and DigitalOcean. I chose Google Cloud because Cloud Run, BigQuery, and the overall developer experience fit my workflow better. For AI projects, data engineering, and containerized applications, GCP provides a strong balance between ease of use, scalability, and managed services.

Ratings

Ease of use

Reliability

Value for money

Customization

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14 views2mo ago

used Google Cloud Platform to build myAIcademy

•3 reviews

The product is one account across iOS, Android and web, so Firebase gives us auth, sync and offline state across all three without building it three times. Cloud Run absorbs the shape of our load. An enterprise cohort onboarding on day one looks nothing like a Tuesday afternoon, and we don't pay for idle capacity in between. Vertex AI is the real reason. It lets us run multiple frontier models, Claude included, behind one interface, with data residency and IAM already in place. When an enterprise security team asks where their employees' learning data lives, we answer without opening a new vendor review.

Alternatives Considered

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1 view3d ago

used Google Cloud Platform to build GyftPro

•3 reviews

We chose Google Cloud Platform (GCP) for GyftPro due to its unmatched reliability, scalability, and extensive range of tools that empower our app's development and operations. GCP’s powerful data processing and AI capabilities integrate seamlessly with our AI-driven gift recommendation engine, ensuring efficient and accurate performance. Compared to alternatives, GCP offers top-tier security, robust infrastructure, and innovative machine learning services that enhance our ability to provide personalized gift suggestions and support a seamless user experience. With GCP, GyftPro can scale effortlessly, meeting user demands during peak times like holidays, ensuring reliability and responsiveness.

What's great

scalability (20)enterprise-grade security (5)robust infrastructure (26)AI/ML capabilities (11)

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40 views2yr ago

used Google Cloud Platform to build PageTest.AI

•6 reviews

GCP offers fast, scalable infrastructure with easy-to-integrate APIs and strong support for AI and machine learning workloads. It gave us the flexibility to build PageTest.AI quickly, with global reliability and cost efficiency—ideal for a bootstrapped launch. Alternatives considered: AWS, Azure Why we chose GCP: GCP struck the right balance between performance, pricing, and ease of use—especially with strong AI/ML tooling and generous free tiers for getting started quickly.

What's great

easy to use (5)free tier (1)scalability (20)global reach (3)robust infrastructure (26)AI/ML capabilities (11)

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33 views1yr ago

used Google Cloud Platform to build SimplAI

•3 reviews

Google Cloud Platform (GCP) stands out due to its superior AI/ML capabilities, high-performance networking, and seamless integration with Google’s ecosystem. Its global fiber network ensures low-latency connectivity, while BigQuery and Vertex AI make data analytics and machine learning more accessible

What's great

seamless integration with Google services (4)AI/ML capabilities (11)Vertex AI (2)high-performance networking (2)BigQuery (2)

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16 views1yr ago

used Google Cloud Platform to build ittybit

•5 reviews

There’s merits to all the hyperscale clouds but we’ve chosen GCP for several of our core services. They get containers right with Cloud Run, we use PubSub heavily for async workflows, and Gemini has first-class models at a range of price points.

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8 views1yr ago

used Google Cloud Platform to build PRISM by Block Convey

•3 reviews

As part of the Google for Startups program, we gained access to technical mentorship, cloud credits, and a global network of innovators. This collaboration allowed us to refine PRISM’s architecture, optimize costs, and fast-track integrations with critical fintech ecosystems. While we’re proud to leverage Google’s infrastructure and resources, Block Convey operates independently—ensuring our solutions remain unbiased, flexible, and tailored to fintech’s unique needs.

What's great

global reach (3)startup program credits (10)robust infrastructure (26)

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7 views1yr ago

used Google Cloud Platform to build Proxy 1.0

•3 reviews

Google Cloud Platform has been essential to our infrastructure. Their robust cloud services helped us build and scale efficiently, while their powerful compute options enabled rapid development and deployment. The comprehensive documentation and enterprise-grade security made GCP a natural choice for building reliable systems at scale.

What's great

scalability (20)enterprise-grade security (5)robust infrastructure (26)

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6 views1yr ago

•6 reviews

Amazing for the most bit, I do feel like they are not as advance as AWS. Even their product offerings arent as mature as AWS. For example AWS has their own SMTP offering which you can use to build an email notification system. With GCP you are forced to go through a third party like SendGrid.

What needs improvement

less mature product offerings compared to AWS (1)

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8 views1yr ago

used Google Cloud Platform to build Needle

•8 reviews

We use Google Cloud Platform and love how thoughtfully their services are designed. The pieces fit together naturally, letting us build powerful software systems. Whether going serverless, containerized, or hybrid - GCP makes our lives easier. Solid engineering! 🚀

What's great

easy to use (5)

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3 views1yr ago

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