Reviewers see Google Cloud Platform as reliable, scalable infrastructure that stays out of the way once it is set up. Founders of products like ClawMetry and Greta say it helps them ship faster, serve users globally with low latency, and avoid building complex infrastructure themselves, with specific praise for Cloud Run, Cloud SQL, security, and AI integrations. The main reservation is breadth: one user says GCP feels less mature than AWS in some areas and sometimes requires third-party tools.

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Pros

robust infrastructure (25)

scalability (22)

AI/ML capabilities (11)

startup program credits (10)

easy to use (7)

enterprise-grade security (7)

seamless integration with Google services (4)

Cloud Storage (3)

data analytics tools (3)

global reach (3)

Pros

Cons

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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 (22)enterprise-grade security (7)robust infrastructure (25)AI/ML capabilities (11)

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27 views1yr 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 (7)free tier (1)scalability (22)global reach (3)robust infrastructure (25)AI/ML capabilities (11)

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22 views12mo 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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11 views1yr ago