OpenStack vs Google Cloud Platform

Struggling to choose between OpenStack and Google Cloud Platform? Both products offer unique advantages, making it a tough decision.

OpenStack is a Network & Admin solution with tags like open-source, cloud-computing, iaas, virtualization.

It boasts features such as Virtual machine management, Block storage management, Networking management, Dashboard for managing resources, APIs for programmatic access, Identity management, Image management and pros including Open source and free to use, Highly scalable and flexible, Supports multiple hypervisors, Active open source community, Modular architecture.

On the other hand, Google Cloud Platform is a Ai Tools & Services product tagged with cloud, infrastructure, platform, services, machine-learning, big-data.

Its standout features include Compute Engine - Scalable virtual machines, App Engine - Serverless application platform, Kubernetes Engine - Managed Kubernetes clusters, Cloud Storage - Object storage, BigQuery - Serverless data warehouse, Cloud SQL - Managed SQL databases, Cloud DNS - Managed DNS, Networking - Virtual networks, load balancing, Stackdriver - Monitoring, logging, diagnostics, and it shines with pros like Global infrastructure and network, Autoscaling and load balancing, Integrated services and APIs, Security and compliance features, Pay-as-you-go pricing, Generous free tier.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

OpenStack

OpenStack

OpenStack is an open-source cloud computing platform that allows companies to create and manage public and private clouds. It provides infrastructure-as-a-service capabilities for managing compute, storage, and networking resources.

Categories:
Network & Admin Cloud Computing
open-source cloud-computing iaas virtualization

OpenStack Features

  1. Virtual machine management
  2. Block storage management
  3. Networking management
  4. Dashboard for managing resources
  5. APIs for programmatic access
  6. Identity management
  7. Image management

Pricing

  • Open Source

Pros

Open source and free to use

Highly scalable and flexible

Supports multiple hypervisors

Active open source community

Modular architecture

Cons

Complex installation and configuration

Steep learning curve

Requires expertise to manage and maintain

Upgrades can be disruptive

Limited documentation and support

Google Cloud Platform

Google Cloud Platform

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products. GCP offers computing, storage, networking, big data, machine learning, and application services in the cloud.

Categories:
Ai Tools & Services Cloud Computing
cloud infrastructure platform services machine-learning big-data

Google Cloud Platform Features

  1. Compute Engine - Scalable virtual machines
  2. App Engine - Serverless application platform
  3. Kubernetes Engine - Managed Kubernetes clusters
  4. Cloud Storage - Object storage
  5. BigQuery - Serverless data warehouse
  6. Cloud SQL - Managed SQL databases
  7. Cloud DNS - Managed DNS
  8. Networking - Virtual networks, load balancing
  9. Stackdriver - Monitoring, logging, diagnostics

Pricing

  • Pay-As-You-Go
  • Free Tier

Pros

Global infrastructure and network

Autoscaling and load balancing

Integrated services and APIs

Security and compliance features

Pay-as-you-go pricing

Generous free tier

Cons

Can be more expensive for heavy workloads

Not as many services as AWS

Steeper learning curve than some clouds

Vendor lock-in