Name: Google Cloud Platform
Rating: 4.6 (1621 reviews)

Overview

Product Information on Google Cloud Platform

Updated 13th October 2025

What is Google Cloud Platform?

Google Cloud Platform is a software that offers a suite of cloud computing services, including infrastructure as a service, platform as a service, and serverless computing environments. It provides tools for computing, storage, networking, data analytics, artificial intelligence, and machine learning. The software supports the deployment and scaling of applications and services on a highly available and secure global infrastructure. It enables organizations to manage workloads, develop and run applications, and analyze large volumes of data to address business challenges such as resource optimization, faster time-to-market, and scalability for enterprise and developer needs.

Overall experience with Google Cloud Platform

IT ASSOCIATE

<50M USD, IT Services

FAVORABLE

“"Scalable, Developer-Friendly Cloud Platforms with strong Data & AI Capabilities"”

4.0

Mar 2, 2026

We have been using Google cloud platform to run production-grade applications and backend services at scale. Overall, the platform has been reliable, scalable, and developer-friendly. Deployment speed, managed services, and integration with modern tooling worked very well for our use case. However, cost predictability and billing transparency can sometimes be challenging, especially during rapid scaling. Support response quality varies depending on the plant tier. That said, for high-growth environments and modern architectures, GCP has delivered strong performance and flexibility.

Technical Content Writer

50M - 250M USD, IT Services

CRITICAL

“Models and AI Capabilities Fall Short of Expected Results and Performance”

3.0

Feb 26, 2026

Not Seeing Appropriate Results for the Models and AI Capabilities as we had expected from it.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.

For Market:
Strategic Cloud Platform Services

About Company

Company Description

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Company type

Public

Year Founded

1998

Head office location

Mountain View, CA, United States

Annual Revenue

30B+ USD

Website

www.google.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: Google Cloud Platform

Performance of Google Cloud Platform Across Market Features

Google Cloud Platform Likes & Dislikes

Scalability & Performance - Seamless auto-scaling with compute engine, cloud run, and Kubernetes (GKE) makes it easy to handle traffic spikes. Strong Data & AI Ecosystem - Big Query, Vertex AI, and integrated ML tooling are powerful for analytics-driven applications. Developer-friendly tooling - Excellent CI/CD integration, IAM controls, container support, and a clean API ecosystem. Global Infrastructure - Reliable network performance and multi-region deployment options.

Speed, and Response Times

- Excellent support for real-time streaming for a top tier plan. - Integration between the natural services like Dataflow & Big Query makes the pipeline building seamless. - Network backbone is strong & Inter-region connectivity is fast. - Developer friendly ecosystem with clean UI, strong CLI tooling & integrating with firebase makes much more easier for mobile apps & analytics.

Billing structures can become complex and difficult to forecast accurately. Premium support plans are expensive for growing Startups. Documentation is vast but sometimes fragmented across services. IAM configuration can become complex in larger terms.

Quality Issues with Content Produced, and Imperfect Results

- Cost Management Complexity - Auto scaling services will be risky and you'll get higher bills unexpectedly. - Smaller enterprise market share - Fewer third-party integrations & less enterprise legacy tooling along with smaller community in certain regions. - Permissions can be overwhelming - Roles & policies need to be improved, there is a misconfiguration risk is high. - Support quality is dependent on the subscription plan - basic plan support is not up to the mark or standard. Only the higher tier subscribers get the best support possible.

Top Google Cloud Platform Alternatives

Peer Discussions

What Your Peers Are Saying About Google Cloud Platform

VP, IT Infrastructure

I am curious if anyone has recommendations for an objective third party to provide an external evaluation of GCP environments from a Fin Ops/Cost Optimization perspective. Many suppliers in the space selling reporting toolsets or serving as VARs but am interested in finding an independent third party.

Director of IT

I have conducted my own investigation and analysis using native cloud platform tooling, applying the Technology Business Management (TBM) taxonomy, and LeanIX, to help understand cloud costs. Apptio is another product I was looking at as well to help improve cloud costs. Apptio is easily integrated with LeanIX. https://www.apptio.com/products/ibm-apptio/ https://www.leanix.net/en/enterprise-architecture/integrations#apptio Cloudability is AppTio’s FinOps certified platform to enable cloud cost optimization efforts: https://www.apptio.com/products/cloudability/ My opinion is that I don’t trust independent third-party’s (consultants) to take an unbiased approach nor even have an effective diligent approach. I have had average to poor experiences with third-party’s that management in my previous organization brought in to conduct an investigation. Given good tooling and a decent budget I think you are better off creating your own cloud centre of excellence that follows best practices for workload cost management and optimization. Lastly, I read the recent post from Curt Hodge on that question, he is recommending PointFive. I had a look at PointFive’s website information and I would agree with Curt’s recommendation to take a closer look at the PointFive solution https://www.pointfive.co/ however at first glance they seem to be AWS focused and there is no mention of GCP integration.

See Full Discussion

2 Sep 20242.3k Views3 Comments

VP of Product Management

We have a Vertex AI environment and we plan to apportion the consumption costs use case wise that are on onboarded on to a project. Currently Google Cloud provides option to extract data for billing at Project level only and we can get details below project level. Hence trying to check if there is a option/configurations to be made to assign costs at use case wise that are onboarded with in a project.

CIO

check the below links: https://cloud.google.com/billing/docs/how-to/export-data-bigquery-tables/standard-usage#tags https://cloud.google.com/vertex-ai/docs/pipelines/understand-pipeline-cost-labels#view_pipeline_resources_cost

See Full Discussion

15 Jan 20243.4k Views2 Comments

Google Cloud Platform Reviews and Ratings

Recommended Gartner Insights

Market Guide for Generative AI Infrastructure Providers (Transitioning to Cloud AI Infrastructure)

<50M USD

IT Services

Review Source

"Scalable, Developer-Friendly Cloud Platforms with strong Data & AI Capabilities"

Software Developer

Services (non-Government)

Strong Data Capabilities and Seamless Integrations With Complex Cost Management Risks

Mar 6, 2026

As a Google cloud platform user, I'm telling you this is a powerful & enterprise level cloud platform ecosystem with a strong data & AI capabilities. It comes with cost management challenges and also a learning curve.

50M-1B USD

Software

GKE Offers Robust AI Workload Support, But UI And Documentation Need Improvement

Apr 2, 2026

GCP is a strong foundation for AI infrastructure. The compute layer scales well for GPU-intensive workloads, GKE handles the orchestration for model serving and training pipelines, and Google's own fiber network keeps inter-region latency low when moving large datasets or syncing distributed training jobs. Vertex AI integrates natively with this stack. The UI and documentation still need work, especially for the newer AI services

Head Of It Architecture

Media

Vertex AI and Big Query Integration Streamline Machine Learning on Large Datasets

5.0

Mar 4, 2026

GCP offers a suite of specialized services and proprietary TPU infrastructure optimized for for large-scale deep learning and training workloads. Integrated tools like Vertex AI, Vertex AI Pipelines, Kubeflow and Big Query provide access to generative models like Gemini and allow for building, training, deploying, monitoring and managing MLOps.

Engineer

Telecommunication

Learning AI Made Easier, But Community and Pricing Uncertainty Remain Issues

Mar 10, 2026

I have been using GCP throughout my college years and after it too, as it makes it easier for using high level AI models without any hassle of physical hardware, it helped me learn a lot through online code books and the community.