Google Cloud Platform

A suite of cloud computing services by Google

5.0•195 reviews•

2.2K followers

A suite of cloud computing services by Google

5.0•195 reviews•

2.2K followers

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Cloud Computing Platforms

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

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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 195 reviews

Review Google Cloud Platform?

Reviewers see Google Cloud Platform as a strong, developer-friendly cloud for shipping and scaling apps, APIs, data pipelines, and AI workloads. Users especially praise Cloud Run, BigQuery, Cloud Storage, and the broad managed-service lineup, saying they reduce the need for extra infrastructure. Makers of Greta, Needle, and Fabraix also highlight reliable compute, smooth service integration, and useful AI tooling. Main complaints are harder-to-predict pricing, complex IAM permissions, uneven docs, and some gaps versus AWS maturity.

+193

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

•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.

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10 views20d ago

used Google Cloud Platform to build Pebbles Ai

•3 reviews

GCP is our AI infrastructure backbone. We didn't choose it just for scale – though it handles that too. Being part of the Google for Startups program gives us personal extended access to the tools and support that actually matter at our stage. For a B2B product like ours, data containment and tenant isolation are non-negotiable. Our customers trust us with sensitive GTM data, and GCP's security model gives us the architecture to honour that promise. Our CASA 2 certification backs that up – our security posture has been independently validated, not self-declared. On top of that, the native AI/ML tooling – Vector DB, inference, RAG – means we're building on primitives that are genuinely production-ready, not bolted-on afterthoughts.

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2d 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.