--- description: Get information about Google Cloud Compute Engine price, usability & features from verified user experiences. Read reviews from Indian business users & discover similar tools. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Google Cloud Compute Engine Price, Features, Reviews & Ratings - Capterra India --- Breadcrumb: [Home](/) > [Infrastructure-as-a-Service Solutions](/directory/32015/infrastructure-as-a-service-solutions/software) > [Google Cloud Compute Engine](/software/1025324/google-cloud-compute-engine) # Google Cloud Compute Engine Canonical: https://www.capterra.in/software/1025324/google-cloud-compute-engine Page: 1 / 2\ Next: [Next page](https://www.capterra.in/software/1025324/google-cloud-compute-engine?page=2) > Secure and customizable compute service that lets you create and run virtual machines on Google’s infrastructure. > > Verdict: Rated **4.1/5** by 11 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses Google Cloud Compute Engine? Compute Engine is Google's infrastructure as a service (IaaS) platform for data-driven global companies that prefer cloud-based virtual machines over investing in server equipment of their own. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.1/5** | 11 Reviews | | Ease of Use | 4.4/5 | Based on overall reviews | | Customer Support Software | 4.0/5 | Based on overall reviews | | Value for Money | 4.1/5 | Based on overall reviews | | Features | 4.8/5 | Based on overall reviews | | Recommendation percentage | 80% | (8/10 Likelihood to recommend) | ## About the vendor - **Company**: Google ## Commercial Context - **Starting Price**: $0.01 - **Pricing model**: Usage Based (Free version available) (Free Trial) - **Pricing Details**: Free Tier: New customers get $300 in free credits to spend on Compute Engine during the first 90 days. Free Usage per Month: All customers get a general purpose machine (e2-micro instance) per month for free, not charged against your credits. General Pricing: Pricing for Compute Engine is based on per-second usage of the machine types, persistent disks, and other resources that you select for your virtual machines. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Spanish - **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antarctica, Antigua & Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus and 229 more ## Features - Configuration Management - Data Migration - Load Balancing Software - Virtual Machine Monitoring - Virtualization Software ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base Software - Phone Support - Chat ## Category - [Infrastructure-as-a-Service Solutions](https://www.capterra.in/directory/32015/infrastructure-as-a-service-solutions/software) ## Related Categories - [Infrastructure-as-a-Service Solutions](https://www.capterra.in/directory/32015/infrastructure-as-a-service-solutions/software) - [Virtual Machine Software](https://www.capterra.in/directory/31078/virtual-machine/software) - [Cloud Management Tools](https://www.capterra.in/directory/30852/cloud-management/software) - [Virtual Desktop Infrastructure (VDI) Software](https://www.capterra.in/directory/31996/vdi/software) - [Virtualization Software](https://www.capterra.in/directory/30618/virtualization/software) ## Alternatives 1. 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The pricing is also low. > > **Cons**: The pricing structure can be difficult to learn, and setting up networking and permissions requires some learning for the new users > > It was amazing like I liked some of the features which are not available on other platforms. ----- ### "BPF restriction forced me to AWS" — 1.0/5 > **Jo** | *5 December 2025* | Accounting Software | Recommendation rating: 2.0/10 > > **Pros**: Connected and respected. They have a deep set of documentation, that is extensive though disorganized. > > **Cons**: I was unable to run an e2 instance with cilium due to bpf restrictions. Certainly a requirement they chose not to fulfill because of the cost of needed changes. > > Poor, Average. Messy and hard to use, works well though. The ability to create things with the CLI was nice, though my overall experience with them specifically having initial settings avoid the components for always free was rough. ----- ### "Reliable, scalable infrastructure with a real learning curve on cost optimization" — 4.0/5 > **Muhammad** | *23 August 2026* | Logistics & Supply Chain | Recommendation rating: 9.0/10 > > **Pros**: Google Cloud Compute Engine's performance and reliability have held up consistently well for running a logistics platform's backend services, which need to stay responsive under variable load as bidding, trip tracking, and government API integration traffic fluctuates throughout the day. Custom machine types let us size instances precisely to actual workload needs rather than paying for a fixed tier that either wastes resources or falls short during peak periods. Integration with the rest of Google Cloud, including Cloud SQL and networking tools, made setting up a PostgreSQL-backed backend straightforward without a lot of manual wiring between services. Live migration during host maintenance has been a genuine advantage, since it keeps instances running through underlying hardware maintenance without the downtime we'd expect from other providers. On the pricing and ROI side, sustained-use discounts and the ability to right-size machine types have kept infrastructure costs proportional to actual usage rather than locking us into rigid pricing tiers, which matters for a platform where traffic patterns shift as new integrations and features roll out. Scaling up additional instances during high-demand periods, like promotional campaigns or peak booking windows, has been quick and predictable. Global network performance is also a standout, with low-latency connectivity that's kept API response times consistent for time-sensitive operations like trip status updates and compliance checks tied to government integrations. > > **Cons**: The pricing model, while flexible, is genuinely complex to fully understand and optimize. Between sustained-use discounts, committed-use contracts, and the many machine type options, getting cost projections right for a growing logistics platform's infrastructure needs took more trial and error than we expected, and it's easy to end up paying more than necessary without careful ongoing monitoring. The learning curve for newer team members is steeper than some competing platforms, particularly around networking configuration and IAM permissions, which took real ramp-up time to get comfortable with when onboarding new engineers to manage infrastructure tied to government integration work. Documentation, while extensive, can be inconsistent in depth across different services, and we occasionally had to piece together information from multiple sources or reach out to support for less common configuration scenarios specific to our setup. Support response times on lower-tier plans have been slower than we'd like for infrastructure that carries real operational weight, and getting timely help during time-sensitive incidents sometimes required escalating through higher support tiers than we'd initially budgeted for. > > Overall, Google Cloud Compute Engine has been a solid, reliable foundation for running a logistics platform's backend infrastructure through a period of real growth. It's handled the demands of a system juggling REST and GraphQL services, PostgreSQL and PostGIS workloads, and multiple government and payment API integrations without major reliability issues, and live migration during maintenance has meant our uptime hasn't taken hits from routine hardware upkeep. The flexibility to size instances precisely and scale during demand spikes has kept infrastructure aligned with actual usage rather than forcing us into rigid capacity planning, and that's translated into cost efficiency once we got past the initial learning curve around pricing and discount structures. Where the experience has been less smooth is around the complexity of fully optimizing costs and the steeper ramp-up time for new engineers getting comfortable with IAM and networking configuration. Support responsiveness has also been a mixed bag depending on the tier and urgency of the issue. Net, it's been a dependable platform for a system where reliability and scalability genuinely matter, and the tradeoffs in complexity have been manageable given the flexibility and performance gained in return. ----- ### "Google Cloud Compute Engine" — 5.0/5 > **raj** | *22 February 2023* | Computer Software | Recommendation rating: 9.0/10 > > **Pros**: Google Cloud Compute Engine's integration with other Google Cloud services. The platform makes it easy to integrate with other Google Cloud offerings, such as Google Cloud Storage and Google Kubernetes Engine, which can help users build more complex applications and solutions. > > **Cons**: Google Cloud Compute Engine's integration with third-party tools and services can be limited, which can make it challenging to use with certain applications or workflows. > > my overall experience is good and Google Cloud Compute Engine is easy to create vm ----- ### "GCP has the best documentation for Cloud Computing" — 5.0/5 > **George** | *28 April 2023* | Information Technology & Services | Recommendation rating: 10.0/10 > > **Pros**: I was new to Cloud Computing but the easy to use documentation gave me the best introduction to cloud computing. I was able to build my first VPN, run my first virtual machine and do lots of stuff. The $300 credit was a good thing also > > **Cons**: I cant name anything I disliked about the process. > > It was the best experience I had with a Google product. ----- Page: 1 / 2\ Next: [Next page](https://www.capterra.in/software/1025324/google-cloud-compute-engine?page=2) ## Links - [View on Capterra](https://www.capterra.in/software/1025324/google-cloud-compute-engine) ## This page is available in the following languages | Locale | URL | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | ja | | ----- ## Structured Data