Reviewers see Google Cloud Platform as a strong fit for developers building AI, data, and containerized apps, with Cloud Run and BigQuery mentioned most often for simple deployment, analytics, and scaling. Makers of Needle, Fina, and Greta.sh also praise its reliability, integrated services, and support for shipping faster. The main drawbacks are harder-to-predict pricing, complex IAM for newcomers, uneven documentation, and a view from one user that some offerings feel less mature than AWS.

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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

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

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45 views2yr ago

used Google Cloud Platform to build PageTest.AI

•7 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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38 views1yr ago

used Google Cloud Platform to build Tulu instead of Microsoft Azure, Cloudflare

•8 reviews

Everything, all in one place! Data pipelines and storage, cloud functions, hosting, auto-scaling, everything we need. Love BigQuery and all of the active support for the AI era that it's receiving. Perfect for a scaling startup.