Top 10 Google Compute Engine Alternatives & Competitors

(939)4.5 out of 5

The Auto Scaling Software solutions below are the most common alternatives that users and reviewers compare with Google Compute Engine. Auto Scaling Software is a widely used technology, and many people are seeking reliable, user friendly software solutions with networking, virtual machines, and custom machines. Other important factors to consider when researching alternatives to Google Compute Engine include user interface. The best overall Google Compute Engine alternative is Azure Virtual Machines. Other similar apps like Google Compute Engine are Vultr, Amazon EC2, DigitalOcean, and Akamai Cloud Computing. Google Compute Engine alternatives can be found in Auto Scaling Software but may also be in Infrastructure as a Service (IaaS) Providers or Operating Systems.

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Best Paid & Free Alternatives to Google Compute Engine

Azure Virtual Machines
Vultr
Amazon EC2
DigitalOcean
Akamai Cloud Computing
Hostwinds
VMware vSphere
Ubuntu

Top 10 Alternatives to Google Compute Engine Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Google Compute Engine stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Computer & Network Security, and Internet, and find the best product for your business.

Azure Virtual Machines

By Microsoft

4.4/5

(385)

Product Description

Azure Virtual Machines (VMs) are scalable, on-demand computing resources provided by Microsoft Azure, enabling users to deploy and manage virtualized Windows and Linux servers in the cloud. These VMs support a wide range of workloads, from simple web applications to complex enterprise solutions, offering flexibility and control over computing resources without the need for physical hardware maintenance. Key Features and Functionality: - Diverse VM Series: Azure offers various VM series tailored to specific needs: - General Purpose (D-series, B-series): Balanced CPU-to-memory ratio, suitable for web servers and small to medium databases. - Compute Optimized (F-series): High CPU-to-memory ratio, ideal for CPU-intensive tasks like batch processing. - Memory Optimized (E-series): High memory-to-CPU ratio, designed for in-memory applications and large databases. - Storage Optimized (L-series): High disk throughput and IOPS, perfect for big data and data warehousing. - GPU-enabled (N-series): Equipped with GPUs for graphics-intensive and machine learning workloads. - Operating System Support: Azure VMs support a broad range of operating systems, including various distributions of Linux and all supported versions of Windows Server. - Scalability and Availability: Features like Virtual Machine Scale Sets allow for automatic scaling of applications, and Availability Sets ensure high availability by distributing VMs across multiple physical servers. - Integrated Security: Built-in security features include Azure Security Center for threat detection and response, and compliance with various industry standards. - Cost Management: Options like Azure Reserved Virtual Machine Instances and Azure Hybrid Benefit help optimize costs, while Azure Spot Virtual Machines offer significant discounts for interruptible workloads. Primary Value and Solutions Provided: Azure Virtual Machines offer businesses the ability to quickly deploy and manage scalable computing resources without the overhead of maintaining physical hardware. This flexibility allows organizations to respond rapidly to changing demands, optimize costs through various pricing options, and ensure high availability and security for their applications. By leveraging Azure VMs, users can focus on developing and running their applications while Azure handles the underlying infrastructure, leading to increased operational efficiency and agility.

Reviewers say compared to Google Compute Engine, Azure Virtual Machines is:

Slower to reach roi

Easier to do business with

Better at meeting requirements

Categories in common with Google Compute Engine:

Server Virtualization

Infrastructure as a Service (IaaS)

Vultr

By Vultr Holdings LLC

4.3/5

(284)

Product Description

Reviewers say compared to Google Compute Engine, Vultr is:

Slower to reach roi

Easier to set up

More usable

Categories in common with Google Compute Engine:

Server Virtualization

Infrastructure as a Service (IaaS)

Amazon EC2

By Amazon Web Services (AWS)

4.6/5

(1,167)

Product Description

Reviewers say compared to Google Compute Engine, Amazon EC2 is:

Slower to reach roi

Better at support

Better at meeting requirements

Categories in common with Google Compute Engine:

Infrastructure as a Service (IaaS)

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Akamai Cloud Computing

By Akamai Technologies

4.6/5

(404)

Product Description

Reviewers say compared to Google Compute Engine, Akamai Cloud Computing is:

Better at support

Easier to set up

Easier to admin

Categories in common with Google Compute Engine:

Infrastructure as a Service (IaaS)

Hostwinds

By Hostwinds

4.9/5

(438)

Product Description

Reviewers say compared to Google Compute Engine, Hostwinds is:

Slower to reach roi

Better at support

Easier to admin

Categories in common with Google Compute Engine:

Infrastructure as a Service (IaaS)

VMware vSphere

By Broadcom

4.5/5

(749)

Product Description

Reviewers say compared to Google Compute Engine, VMware vSphere is:

Slower to reach roi

More expensive

Easier to admin

Categories in common with Google Compute Engine:

Server Virtualization

Product Description

Reviewers say compared to Google Compute Engine, Ubuntu is:

Slower to reach roi

Easier to set up

Easier to admin

Categories in common with Google Compute Engine:

Cloud Management Platforms

Server Virtualization

Red Hat Enterprise Linux

By Red Hat

4.6/5

(944)

Product Description

Red Hat Enterprise Linux (RHEL) is a enterprise operating system designed to provide a secure, stable, and high-performance environment for modern IT infrastructures. It supports a wide range of applications across physical, virtual, and cloud environments, making it a versatile choice for businesses of all sizes. Key Features and Functionality: - Security: RHEL offers live kernel patching, security profiles, and adheres to security standards certifications, ensuring a robust defense against vulnerabilities. - Consistent Lifecycle: The operating system follows a predictable lifecycle with three phases: full support, maintenance support, and an extended life phase, providing long-term stability and planning capabilities. - Cloud Integration: RHEL is optimized for cloud environments and collaborates with major cloud providers like AWS, Microsoft Azure, and Google Cloud, facilitating seamless workload migration and management. - Developer Access: Red Hat provides developers with free access to RHEL through the "Red Hat Enterprise Linux for Business Developers" platform, allowing up to 25 instances for development purposes. Primary Value and Solutions: RHEL addresses the need for a reliable and secure operating system that can handle diverse workloads across various environments. Its comprehensive security features mitigate risks, while the consistent lifecycle ensures long-term support and stability. The integration with leading cloud providers simplifies cloud adoption and management, and the provision of free developer access fosters innovation and accelerates application development. Overall, RHEL empowers organizations to build, deploy, and manage applications efficiently, aligning with business demands for production-readiness and operational excellence.

Reviewers say compared to Google Compute Engine, Red Hat Enterprise Linux is:

Slower to reach roi

Better at support

Better at meeting requirements

Categories in common with Google Compute Engine:

Server Virtualization