Software Alternatives, Accelerators & Startups

Deployment.io VS Google Compute Engine

Compare Deployment.io VS Google Compute Engine and see what are their differences

Deployment.io logo Deployment.io

Deployment.io makes it super easy for startups and agile engineering teams to automate application deployments on AWS cloud.

Google Compute Engine logo Google Compute Engine

Google Compute Engine is not just fast. Itโ€™s Google fast.
  • Deployment.io deployment home
    deployment home //
    2024-03-23
  • Deployment.io deployment repositories
    deployment repositories //
    2024-03-23
  • Deployment.io deployment environments
    deployment environments //
    2024-03-23
  • Deployment.io deployment deployments
    deployment deployments //
    2024-03-23

Deployment simplifies continuous code integration and delivery automation for startups and agile engineering teams on the AWS cloud, eliminating the need for DevOps engineering. A developer can deploy static sites, web services, and environments without knowledge of AWS or DevOps. Deployment supports previews on pull requests and automatic deployments on code push without manual setup or scripting. It enables engineering teams to focus on tasks that add customer value instead of worrying about DevOps-related grunt work.

  • Google Compute Engine Landing page
    Landing page //
    2023-10-22

Deployment.io

$ Details
freemium
Platforms
AWS GitHub GitLab
Release Date
2024 February

Google Compute Engine

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Deployment.io features and specs

  • Automatic Deployments
    Automated deployments to AWS cloud
  • Previews
    Previews deployed to AWS on pull requests
  • Slack Alerts
    Slack alerts for for any updates to deployments
  • Unlimited static sites
    Deploy static sites with one click without any AWS setup
  • Unlimited web services
    Deploy web services and backend APIs without any AWS setup
  • Unlimited environments
    Create development, staging, and production environments on the fly on your AWS account
  • Unlimited repositories
    Connect your GitHub and GitLab repositories for automated CI/CD

Google Compute Engine features and specs

  • Scalability
    Google Compute Engine offers robust scalability, allowing users to easily increase or decrease resources to match the workload demands. This ensures that businesses can handle growing traffic and data without unnecessary delays.
  • Performance
    GCE provides high-performance virtual machines with the ability to customize CPU, memory, and persistent disk configurations. The underlying infrastructure is optimized for high-speed operations.
  • Global Reach
    With data centers located around the world, GCE provides global reach and redundancy. This ensures low-latency access and high availability for applications and services.
  • Integration
    GCE integrates seamlessly with other Google Cloud services, such as Google Kubernetes Engine, BigQuery, and Cloud Storage. This ecosystem facilitates streamlined workflows and enhanced functionality.
  • Security
    GCE features multiple layers of security including encryption, identity management, and regular compliance audits. These measures ensure that data and applications are well-protected.
  • Cost-Effective
    With per-second billing and various pricing plans, GCE offers cost-effective solutions. Users only pay for what they use, which can lead to significant savings.

Possible disadvantages of Google Compute Engine

  • Complexity
    For new users, the wide range of services and options within GCE can be overwhelming. It may require a steep learning curve to fully understand and leverage all available features.
  • Support Costs
    While GCE offers various support plans, premium support options can be expensive. Smaller businesses might find the cost prohibitive compared to their budget.
  • Vendor Lock-In
    Once services are deeply integrated with GCE, it may be difficult to migrate to another cloud provider. This could result in vendor lock-in and reduced flexibility for organizations.
  • Regional Availability
    Even though GCE has a broad global presence, not all services are available in every region. This can be a limitation for businesses that require specific features in certain geographic locations.
  • Network Egress Charges
    GCE charges for outbound data transfer, which can add up for applications serving large amounts of data across regions or the internet. Users need to monitor and manage egress costs carefully.

Analysis of Google Compute Engine

Overall verdict

  • Google Compute Engine is a strong choice for cloud computing needs, particularly if you're already using other Google Cloud services or require a scalable and reliable infrastructure.

Why this product is good

  • Google Compute Engine (GCE) is known for its robust infrastructure, scalability, and strong support for a variety of workloads. It offers customizable virtual machines with reliable security features and seamless integration with other Google Cloud services. Additionally, GCE benefits from Google's global network, providing high-performance and low-latency connectivity for users worldwide. Advanced features like Preemptible VMs and various machine types allow for cost-effective and flexible computing solutions.

Recommended for

  • Businesses looking for scalable and cost-effective cloud solutions.
  • Organizations utilizing other Google Cloud Platform services.
  • Developers who need a variety of machine types and advanced configuration options.
  • Enterprises requiring global reach and low-latency network performance.
  • Teams focusing on data-intensive applications or machine learning tasks.

Deployment.io videos

Deploying a Golang API on AWS using deployment.io

Google Compute Engine videos

Getting Started with Google Compute Engine

Category Popularity

0-100% (relative to Deployment.io and Google Compute Engine)
Cloud Computing
32 32%
68% 68
DevOps Tools
100 100%
0% 0
VPS
0 0%
100% 100
Cloud Infrastructure
31 31%
69% 69

Questions and Answers

As answered by people managing Deployment.io and Google Compute Engine.

What's the story behind your product?

Deployment.io's answer

I led engineering teams at early-stage startups and realized that startups waste 70% of valuable engineering time on tedious, non-coding tasks that they can easily automate.

To solve this problem, we've built Deployment.io so engineering teams at startups can focus on writing more code that adds value and helps them achieve PMF faster.

Which are the primary technologies used for building your product?

Deployment.io's answer

ReactJs using Typescript, GatsbyJs using Typescript, GoLang, and AWS

What makes your product unique?

Deployment.io's answer

Deployment.io is built and designed for startups. Our customers can onboard in 5 minutes and start deploying apps to AWS without any DevOps or AWS knowledge. Other platforms are complex and require scripting or DevOps knowledge. They are built for bigger companies with a lot of resources.

Why should a person choose your product over its competitors?

Deployment.io's answer

Startups and agile engineering teams should choose Deployment.io for the simplicity and ease of use. Our competitors are complex and are designed for bigger companies.

How would you describe your primary audience?

Deployment.io's answer

For startups, speed and focus are crucial. Our primary audience is engineering teams at startups that want to focus on building code that adds value and not on DevOps related grunt work.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Deployment.io and Google Compute Engine

Deployment.io Reviews

  1. Super easy deployments to AWS

    Deploying web apps on AWS has never been this easy and it also takes care of scaling based on usage.

Google Compute Engine Reviews

Alternatives to Amazon's Cloud Services (AWS)
Microsoft Azure and Google Cloud Compute are the two biggest competitors to AWS attempting to offer a growing stack of service offerings.

Social recommendations and mentions

Based on our record, Google Compute Engine seems to be a lot more popular than Deployment.io. While we know about 16 links to Google Compute Engine, we've tracked only 1 mention of Deployment.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Deployment.io mentions (1)

  • Easily automate Rust web service deployments on AWS without DevOps
    Deployment.io is an AI-powered, self-serve developer platform that simplifies deployment of complex backend services on AWS. - Source: dev.to / about 1 year ago

Google Compute Engine mentions (16)

  • AWS Free Tier Changes on July 15, 2025
    Https://cloud.google.com/products/compute ? You get one e2-micro VM instance free per month. - Source: Hacker News / 3 months ago
  • Please bring neon db to GCP
    Surely you can run your own instances on some sort of "Compute" in GCP? https://cloud.google.com/products/compute. - Source: Hacker News / over 1 year ago
  • Pickems website for MSI 2023
    The backend is written in node.js and is deployed using Google Compute Engine. I wanted to learn Kubernetes but it seemed more complicated and also more expensive than GCE. We also use mongodb. Source: over 2 years ago
  • Is it possible to host a Golang Application Free Indefinitely?
    Google seems to have a free tiny VM offering. AWS and Azure have one for a year. Of course, whether Google's will still be free in a year is whoknows. Source: over 2 years ago
  • typical programmer life
    Cloud VM's are the easy answer here. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Deployment.io and Google Compute Engine, you can also consider the following products

Harness - Automated Tests For Your Web App

Amazon EC2 - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Render UIKit - React-inspired Swift library for writing UIKit UIs

Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.