Reviewers see Google Cloud Platform as a strong, practical choice for deploying apps, APIs, data pipelines, and AI workloads, with Cloud Run, BigQuery, storage, and managed services called out most often for ease, scale, and tight integration. One user says pricing can be hard to predict, IAM is complex for newcomers, and documentation varies; another adds that some offerings feel less mature than AWS. Founders of Greta, Needle, and ClawMetry similarly praise reliability, scalability, and support for serverless, hybrid, and secure multi-tenant systems.

+198

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

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Most Informative

Founder Reviews (198)

Other Reviews (2)

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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32 views1yr ago

used Google Cloud Platform to build BearDrive

•4 reviews

BearDrive's promise is "a full history seconds after the file is written," and Google Cloud is what makes "seconds" true. The sync backbone, versioned storage, and the hub all run on GCP, which has let a small team ship infrastructure that feels instant without running a single server ourselves.

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2d ago