Google Cloud Platform

Name: Google Cloud Platform
Rating: 4.99 (200 reviews)

A suite of cloud computing services by Google

5.0•200 reviews•

2.4K followers

A suite of cloud computing services by Google

5.0•200 reviews•

2.4K followers

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Engineering & Development

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Web hosting services

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Cloud Computing Platforms

Build with generative AI, deploy apps fast, and analyze data in seconds with Google-grade security.

Google Cloud Platform Launches

Google Cloud RunBringing serverless to containers

Launched on April 15th, 2019

Cloud Composer, by GoogleA fully managed workflow orchestration service

Launched on May 1st, 2018

Google Cloud Text-To-SpeechText to speech conversion powered by machine learning

Launched on March 28th, 2018

Google Cloud TPUsBuild and train machine learning models with Google

Launched on May 17th, 2017

Google Cloud PostgreSQLFully-managed database service

Launched on March 9th, 2017

View all Google Cloud Platform launches

5.0

Based on 200 reviews

Review Google Cloud Platform?

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.

+199

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 view20h 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.